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Überblick über die Statistik des Gehaltsniveaus für "Associate Data Scientist in Deutschland"

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Überblick über die Statistik des Gehaltsniveaus für "Associate Data Scientist in Deutschland"

66 250 € Durchschnittliches Monatsgehalt

Durchschnittliches Gehaltsniveau in den letzten 12 Monaten: "Associate Data Scientist in Deutschland"

Währung: EUR USD Jahr: 2024
Das Balkendiagramm zeigt die Änderung des Gehaltsniveaus in der Associate Data Scientist Branche in Deutschland

Verteilung des Stellenangebots "Associate Data Scientist" in Deutschland

Währung: EUR
Wie die Grafik zeigt, in Deutschland gilt Berlin als die Region mit der größten Zahl der offenen Stellen in und an zweiter Stelle folgt Sachsen. Den dritten Platz nimmt Hamburg ein.

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Senior Director, Proteomics Research, Germany
OmicEra Diagnostics GmbH, Germany - Planegg
Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview The Senior Director, Proteomics Research works on multiple projects that are extremely complex in scope, often across multiple groups and sites. As a technical expert and a leader, the Senior Director, Proteomics Research is responsible for providing overall directions, technical insights, guidance, and mentoring to a large group of scientists to ensure successful planning, design, and execution of proteomics research-related projects. Specifically, the Senior Director, Proteomics Research is responsible for determining the scope, technical difficulty, plan, time, resources, and risks associated with new assignments and projects geared toward protein biomarkers discovery and validation. He/she will be providing leadership and guidance to a team of scientists in Planegg, Germany with the focus on leveraging mass spectrometry to discover biomarkers that help advance cancer diagnosis and treatment. The Senior Director will also be managing the Planegg research facility in which the mass spectrometry research will be performed. This includes day to day operational management, budgeting, and forecasting which are an integral part of the overall research and technology development budgeting and plans. Essential Duties Include, but are not limited to, the following: Provide leadership and technical guidance and mentorship to a team of research associates and scientists. Work on significant and unique issues where analysis, situations, or data requires an evaluation of intangible variables and may impact future concepts, products, or technologies. Work on multiple projects that are extremely complex in scope, often across multiple groups and sites. Determine the scope, technical difficulty, plan, timeline, resources, and risks associated with new assignments and projects. Present and clearly communicate findings of research at data meetings, group meetings, and project team meetings to determine the next steps and the path forward for successful outcomes. Identify, adapt, and advance new technology initiatives. Exercise latitude and independent judgement to determine methods and procedures or technologies on new assignments and provide ideas for new techniques. Maintain thorough knowledge of technological industry developments; provide technical assessment, guidance, and help with Go/No Go decisions when evaluating or developing technologies, methods, and procedures. Provide deep scientific leadership and technical input and help guide decisions affecting project planning and experimental design or product development. Prepare, provide, and present information and data for scientific abstracts, industry conferences, project meetings, or publications. Perform complex analyses and present results and data driven outcomes to Senior Management, as well as to a variety of audiences throughout the organization. Contribute to the intellectual property portfolio by implementing innovative and creative ideas to solve problems or improve on current methods, as well as guide and shape nascent ideas that are presented by the scientists and team members. Provide help with IP disclosure and assist in answering questions related to IP filings. Prepare, review, and approve detailed technical procedures, protocols, and reports. Prepare reports and documentation and provide highly technical analysis or summarization of experimental results and project/study outcomes, next steps and provide future direction of the project, and help senior management/project teams with determining Go/No Go decisions. Share ideas and be receptive to new ideas when collaborating within and across departments. Question the status quo and seek and evaluate improvements to existing technologies, processes, or methods. Undertake independent and collaborative research to meet department and project objectives. Promote an open, collaborative environment built on trust to foster positive teamwork that allows for free exchange of ideas. Invest in developing talent to meet both career goals and the organization's goals. Build strength-based teams; apply diverse skills and perspectives to achieve current and future business needs. Create and deliver high quality presentations that effectively communicate and tie into a cohesive story the project status and/or experimental results. Effectively manage, support, and guide your team, including, but not limited to delegating tasks and responsibilities, assess employee performance and provide helpful feedback and training opportunities. Consistent demonstration of exceptional leadership qualities, including, but not limited to the ability to attract and retain the best team, foster a culture of high performance, lead with integrity, humility, accountability, and courage, and set a clear vision to energize teams towards the future. Ability to effectively work on several varied projects at one time, with frequent changing priorities. Excellent analytical, problem solving, and decision-making skills. Exercise technical proficiency, scientific creativity and rigor, and independent thought when challenging and debating scientific ideas. Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. Support and comply with the company’s Quality Management System policies and procedures. Maintain regular and reliable attendance. Ability to act with an inclusion mindset and model these behaviors for the organization. Ability to work nights and/or weekends, as needed. Ability to lift up to 20 pounds for approximately 5% of a typical working day. Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 50% of a typical working day. Ability to grasp with both hands; pinch with thumb and forefinger; turn with hand/arm; reach above shoulder height. Ability to comply with any applicable personal protective equipment requirements. Ability to use various types of laboratory equipment; including microscopes, microtomes, blades, strainers, and pipettes for extended periods of time. May perform repetitious actions using lab tools. Ability to use near vision to view samples at close range. May be exposed to hazardous materials, tissue specimens, and instruments with moving parts, lasers, heating and freezing elements, and high-speed centrifugation. Ability to travel 10% of working time away from work location, may include overnight/weekend/international (to USA) travel. Minimum Qualifications Ph.D. in life sciences, medical technology, clinical laboratory science, chemical/physical/biological science, or field related to the essential duties of the position; or Master’s degree in life sciences, medical technology, clinical laboratory science, chemical/physical/biological science, or field related to the essential duties of the position and 4 years of related experience in lieu of a Ph.D.; or Bachelor’s degree in life sciences, medical technology, clinical laboratory science, chemical/physical/biological science, or field related to the essential duties of the position and 6 years of related experience in lieu of Ph.D. 16+ years of industry or academia experience in biology and/or chemistry. 14+ years of experience in medical device/IVD, biotech, life science, or pharmaceutical industry. 5+ years of experience leading or directing people and/or project teams. Demonstrated experience in mass spectrometry and protein research. Advanced understanding of GMP, ISO, and Quality Systems. Proficient in Microsoft Office to include Excel, Word, and PowerPoint. Demonstrated ability to perform the essential duties of the position with or without accommodation. Preferred Qualifications 20+ years of experience in medical device/IVD, biotech, life science, or pharmaceutical industry. 7+ years of experience leading or directing people and/or project teams. Experience in protein testing platforms, mass spectrometry as a protein discovery tool, and protein research/assay development methods. Experience in developing and running protein ELISA assays. Knowledge of statistical models for data analysis and results reporting. #LI-JR1 Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, email **********. We’ll work with you to meet your accessibility needs. Not ready to apply? Join our talent community and stay up to date on what’s new at Exact Sciences. We are Exact Sciences, and we're changing lives together through earlier detection and smarter answers. https://vimeo.com/660680929Über das Unternehmen:OmicEra Diagnostics GmbH
Senior Data Scientist (m/w/d)
shopware AG, Schöppingen, NW
Bist hast Lust, das Potenzial von E-Commerce und Data Science voll auszuschöpfen? Dann komm zu Shopware, denn unsere Aufgabe ist es, Unternehmen mit hochmodernen, datengesteuerten Lösungen für den Onlinehandel zu unterstützen.Als Senior Data Scientist bist du ein zentraler Teil unseres dynamischen Teams, das sich darauf konzentriert, fortschrittliche Data-Science-Anwendungen in unsere E-Commerce-Software einzubringen. Dabei ist es egal, von wo aus du arbeitest, in Deutschland oder einem anderen Land in Europa, du bist ein fester Bestandteil des Teams, um diedie globale Entwicklung von Shopware mitzugestalten.Du entwickelst, implementierst und verwaltest Modelle für maschinelles Lernen, nimmst die Herausforderungen von ML-Ops an und nutzt AWS für skalierbare Lösungen.Du bist für die eigenständige Durchführung von Datenanalysen, Feature Engineering und Modellevaluierung verantwortlich, um eine qualitativ hochwertige Entwicklung unserer Data-Science-Projekte sicherzustellen.Du spielst eine führende Rolle im Projektmanagement, koordinierst mit funktionsübergreifenden Teams und verwaltest die Beziehungen zu den Stakeholdern effektiv.Du bist verantwortlich für den gesamten Zyklus von Data-Science-Projekten, von der Idee bis zur Produktion, und sorgst für reibungslose automatisierte “Re-Trainings”-Prozesse.Du verwendest Python für Data Science, trägst zu unserer Gitlab-Umgebung bei, überprüfst den Code und wendest CI/CD-Prinzipien an.Personen, die weniger Erfahrung mit maschinellem Lernen und Data Science haben, förderst du als Mentor, um so eine Kultur des kontinuierlichen Lernens und Wachstums zu fördern.Du hältst dich über die neuesten Trends in der Datenwissenschaft auf dem Laufenden, einschließlich Deep Learning mit PyTorch, und wendest dieses Wissen auf strukturierte, Text-, Bild- und Zeitreihendaten an.Das bringst du mit: Du hast umfangreiche Erfahrung in Data Science (ca. fünf Jahre)Du hast signifikante Erfahrung in ML-Ops und AWSDu verfügst über Kenntnisse in Python, Datenanalyse, Modellevaluation und Feature Engineering.Du bist vertraut mit Gitlab, CI/CD, Docker, Kubeflow und automatisierten Umschulungsprozessen.Du verfügst über Kenntnisse im Bereich des überwachten und unüberwachten Lernens, mit einem Verständnis für Deep Learning, strukturierte Text- und Bilddaten sowie Zeitreihenanalyse.Du hast nachweislich Erfahrung im Projektmanagement und in der Arbeit mit funktionsübergreifenden Teams.Du weißt, wie man eng mit verschiedenen Interessengruppen zusammenarbeitet, um ihre Bedürfnisse und Herausforderungen zu verstehen und sie zu berücksichtigen.Du bist bereit, täglich Englisch zu sprechen und verfügst über dementsprechend gute Englischkenntnisse.Das bieten wir dir:Flexible ArbeitszeitenOrtsunabhängiges Arbeiten im Rahmen von Mobile Work und Full-Remote VerträgenWahl deiner HardwareFundiertes Onboarding mit deinem persönlichen BuddyCrew-LovePersönliches Wachstum & FortbildungenTeamevents... und vieles mehr!Einen detaillierten Einblick bekommst du auf unserer Karriereseite.Madlen HebingRecruiting ExpertHast du Fragen? Wir beantworten sie!**********Bitte sende deine Bewerbung ausschließlich digital über unser Online-Bewerbungsformular. Klicke dazu einfach auf den folgenden Button.Über das Unternehmen:shopware AG
Senior Associate Data Science - German speaking
Publicis Sapient, Cologne
Job Description In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clients’ business growth ultimately. Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth. Your Impact Core areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments You’ll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them You’ll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on You’ll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviour You’ll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businesses You’ll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.) You’ll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal) Qualifications Set Yourself Apart With Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP etc. Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation etc.) Experience in production environments for Machine Learning products incl., knowledge of the tools that a needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes) Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI) Knowledge of software engineering principles & deployment methods (preferably in cloud environments) Industry experience in the Automotive, Healthcare, Logistics, Financial Services or Energy & Commodities sector Fluent in German (verbal and written, business environment, complex concepts) and English Standort Publicis Sapient, Cologne
Senior Associate Data Science - German speaking
Publicis Sapient, Munich
Job Description In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clients’ business growth ultimately. Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth. Your Impact Core areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments You’ll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them You’ll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on You’ll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviour You’ll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businesses You’ll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.) You’ll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal) Qualifications Set Yourself Apart With Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP etc. Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation etc.) Experience in production environments for Machine Learning products incl., knowledge of the tools that a needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes) Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI) Knowledge of software engineering principles & deployment methods (preferably in cloud environments) Industry experience in the Automotive, Healthcare, Logistics, Financial Services or Energy & Commodities sector Fluent in German (verbal and written, business environment, complex concepts) and English Standort Publicis Sapient, Munich
Senior Associate Data Science - German speaking
Publicis Sapient, Frankfurt
Job Description In this role, you will help to drive the Data Science practice and play a critical role in helping advance the application of advanced data analytics and machine learning as a core building block for our market offerings. Assist in the project delivery for machine learning work, focusing on how the customer experience and understanding can be improved to help our clients’ business growth ultimately. Further, you will partner with individuals in various divisions, industries and geographies to ensure that increasingly more solutions we bring to the market are data and insight-driven while helping identify new business opportunities and account growth. Your Impact Core areas of focus for our Data Science & Analytics group include Customer Analytics (segmentation, behaviour analysis, personalization, recommender systems, forecasting) leveraging 1st party, 3rd party and various kinds of external data Analyses of large data sets and applied insights to help create personalized customer experiences across multiple sectors in digital environments You’ll consult with clients to define business problems and advise on how to apply data analytics, business intelligence and machine learning to solve them You’ll identify new opportunities within the Data Science & Analytics space and build analytics solutions hands-on You’ll have a strong focus on customer analytics, diving deep into 1st and 3rd party data to measure, analyze and activate digital customer behaviour You’ll build comprehensive dashboards for business users and management levels to generate data-driven insights for their businesses You’ll employ advanced analytics and statistical methods to prepare and analyze data for (predictive) modelling, from prototypes to production (advanced segmentation, hyper-personalization, recommenders etc.) with a focus on but not limited to customer data (also vehicle data, product data, POS data etc.) You’ll help us establish standards in statistical analysis, machine learning, and data visualization to ensure consistency across projects and teams, as well as prepare reports and presentations for relevant stakeholders (client side & internal) Qualifications Set Yourself Apart With Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP etc. Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation etc.) Experience in production environments for Machine Learning products incl., knowledge of the tools that a needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes) Technical knowledge of web/app tracking solutions (e.g. Adobe/Google Analytics), data visualization tools (Tableau & Power BI) Knowledge of software engineering principles & deployment methods (preferably in cloud environments) Industry experience in the Automotive, Healthcare, Logistics, Financial Services or Energy & Commodities sector Fluent in German (verbal and written, business environment, complex concepts) and English Standort Publicis Sapient, Frankfurt
Senior Energy Data Scientist (d/m/f)
Enpax, München, Bayern
Your ResponsibilitiesResearch, develop, and adapt algorithms that unlock the capacity in the distributed energy system through optimized aggregation and dispatch concepts, forecasting per household and aggregate and identifying opportunities to distribute intelligenceCreate data science solutions that solve business challenges through well engineered, elegant technical answers (focus on software)Advance our product development roadmap and help scaling our solutions to further applications expanding the reach of our solutionFoster technical excellence, drive best practices contribute to our open, data driven engineering cultureBuilding, iterating, deploying and maintaining models from scratch to excellenceYour Profile5+ years experience in a quantitative Data Science role, preferably in the energy sector, a leading tech firm or start-upExpert in PythonYou hold a degree in mathematics, statistics, informatics, computer science or a similar fieldYou have developed creative solutions to real-world problems that made it to productionYou have experience with building machine learning solutions and implemented them in an operative application environmentExcellent English communication and interpersonal skillsYou enjoy solving problems and sparring ideas in a cross-functional team with ourHW engineers, software engineers, product managers and business developersSkills to Set You ApartExperience with optimisation problemsExperience working with AWSExperience with putting complex algorithms into productionWork experience in the energy industryAt Entrix, we are committed to diversity - of backgrounds and experiences. You don’t need 100% of the preferred qualifications to add incredible value to our team. If you’re passionate about what you could accomplish here, we’d love to hear from you.Your Compensation Package and BenefitsSalary Range: € 88.000 - 115.000 per year gross depending on the seniority levelProfessional Development: Annual development budget of 3,000 € for coachings, trainings, books, etcHealth & Sport Subsidy: Company subsidised sports facilities membershipPublic Transportation Subsidy: Monthly subsidy to your public transport ticketLunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchersWork Equipment: Mac Book or Windows Laptop, iPhone (also for private use) and ergonomic workplaceRegular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.About usEnpax, a Joint Venture between Enpal and Entrix, is chartered with delivering a Virtual Power Plant (VPP) delivering exceptional energy cost savings while supporting the transition to a 100% renewable electricity future.The combination of delivering complete residential energy systems at great cost with savvy market participation in several revenue streams sets us up to deliver real world customer savings while improving customer satisfaction enjoying the advantages of a fully electrified and energy producing home.Through a deep integration into the installed hardware and a direct connection to the customer interfaces, Enpax’ solution controls the energy assets (such as EV, heat pump, home storage and others) of the entire Enpal energy community with an exceptional level of accuracy, speed, transparency, and thus customer satisfaction. With intelligent real-time dispatching algorithms, Enpax maximizes Enpal customers’ usable flexibility and its returns on energy markets including costs, such as grid fees, asset degradation.Über das Unternehmen:Enpax
Associate Director Laboratory Automation - BAS (m/f/x)
CSL Plasma, Marburg
Associate Director Laboratory Automation – BAS (m/f/x) – R-218041 (Fulltime / permanent/ non-tariff) THE OPPORTUNITY As Laboratory Automation Expert, you will join CSL's Global Bioanalytical Science (BAS) department in Plasma Product Development (PPD) and be responsible for providing globally competitive automation capabilities in this vital international role. You will bring expertise in developing automated end-to-end solutions for complex chemical and biological sample management, analysis, and data pipelines. In this role, you will collaborate with and guide an interdisciplinary international team of scientists and automation specialists. You will be responsible for aligning and integrating PPD BAS automation efforts within CSL’s worldwide automated analytical platform and workflows. THE ROLE Your main responsibility will be to establish laboratory robotics, data analysis, and life science automation workflows focusing on analytical development in BAS in alignment with other functions including Bioprocess Development and Biopharmaceutical Process Development. Ideally you offer experiences with laboratory automation tools, including but not limited to automated liquid handlers, task scheduling software packages, programming of laboratory robotics. You collaborate with subject matter experts in the global CSL network to contribute to the development of a scalable, robust, and reliable robotics and automation framework. Manage the alignment of the Bioanalytical Sciences automation efforts with CSL’s global analytical automation initiatives. You create alignment between the Bioanalytic’s robotics and automation framework, and overall CSL enterprise automation and R&D strategy. Perform gap analysis of existing manual and automated workflows and identify opportunities for efficiency gain via automation. You are an advocate for the application of automation technology in an analytical environment being both an enabler and a source of value creation. Train users and transfer ownership of automated workflows to the analytical execution teams. YOUR SKILLS AND EXPERIENCE Postgraduate degree (preferably PhD) in a quantitative science or engineering and/or extensive experience in relevant industry environment Minimum of 5-10 years of progressively responsible relevant experience in automation, analytical protein chemistry, biophysics, biochemistry, engineering or other pharmaceutically related field Strong problem-solving and managing skills with an emphasis on product development lifecycle (e.g., plan, develop, test, deploy, troubleshoot, iterate) with a drive to learn and master new technologies and techniques. Strong knowledge of programming languages such as Python, R, and cloud computing solutions such as AWS. Knowledge on laboratory automation standards such as SiLa Working knowledge of Regulatory Good Practices (GxP) with regards to laboratory experimentation and documentation. Excellent communication and presentation skills in English. Overnight travel, both nationally and occasionally internationally required up to 10% of the time. WHAT WE OFFER Innovative work-environment at our R&D campus CSL-subsidized company bike leasing We offer childcare for up to 14 children (from 6 months till 3 years old) Access to a free Gym facility onsite Please ensure to apply online with your CV, certifications as well as your salary expectation. We are looking forward to your application. Our Benefits We encourage you to make your well-being a priority. It’s important and so are you. Learn more about at CSL. About CSL Behring CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about . We want CSL to reflect the world around us As a global organisation with employees in 35+ countries, CSL embraces diversity and inclusion. Learn more about at CSL. Do work that matters at CSL Behring! Standort CSL Plasma, Marburg
Lagerlogistik/Fachlagerist (m/f/d)
Germany - Ritter GmbH, DEU-Schwabmünchen
The Opportunity: Under moderate supervision, perform warehouse operations such as loading/unloading trucks, stacking bags, handling product, palletizing, etc. Document all completed work and recording inventory data; utilizing scanners/computers as necessary. Interact regularly with peers and management to pursue continuous improvement of warehouse operations and promote teamwork. Operate forklifts and hand carts. Understand and adhere to all safety policies and procedures Wir – Ritter, part of Avantor- suchen einen Fachlagerist / Lagerlogistik (m/w/d), der für die fachgerechte Einlagerung und Warenbuchungen über ERP-System verantwortlich ist. Sie haben die Möglichkeit, in einem engagierten Team und mit flexiblen Arbeitszeiten ihre Fähigkeiten unter Beweis zu stellen. Wenn Sie eine Ausbildung zur Fachkraft für Lagerlogistik und eine Bereitschaft zur Schichtarbeit mitbringen– melden Sie sich jetzt! Ritter wurde von Avantor übernommen, um seine hochpräzisen Produkte und hochmodernen Fertigungskapazitäten mit dem Angebot von Avantor für kritische Laborautomatisierungsabläufe, seiner globalen Reichweite und seiner Leidenschaft für das Erreichen wissenschaftlicher Durchbrüche zu kombinieren. Wenn Sie sich unserem vereinten Team anschließen, haben Sie die einzigartige Möglichkeit, Ihre Karriere voranzutreiben und gleichzeitig Teil eines erfahrenen Teams zu sein, das sich in den letzten 60 Jahren einen bemerkenswerten Ruf als weltweiter Pionier in der Herstellung von Kunststoffprodukten erworben hat. Das sollten Sie mitbringen: Mehrjährige Berufserfahrung in der Logistik, vorzugsweise in einem Industrieunternehmen Ausbildung zur Fachkraft für Lagerlogistik bevorzugt oder zum Fachlageristen Staplerschein Erfahrung mit Ladungssicherung, Umlagerungen und Versand (Luft- Seefracht) Einlagern der Produktionsware (I-Punkte) Selbständige und strukturierte Arbeitsweise MS Office Kenntnisse (Outlook, Excel, Word, PowerPoint) Bereitschaft zur Schichtarbeit und Wochenendarbeit Deutsch in Wort und Schrift, Englische Grundkenntnisse wären von Vorteil Ihre Aufgaben: Fachgerechte Einlagerung von Waren und Warenbuchungen über ERP-System Identifizierung und Etikettierung der Waren beim Lagerzugang Versandvorbereitung für ausgehende Waren (Transport, kommissionieren, bereitstellen und Kennzeichnen der versandbereiten Waren) Präventive Bedienung und Wartung von Lagerfahrzeugen und -geräten Einhalten der Lagerordnung und Sauberkeit in allen internen Lagern und Hofbereichen Durchführen und Einhalten aller gesetzlichen Vorschriften im Wareneingang Wareneingangsprüfung und Dokumentation der Lieferung (systemseitige Warenvereinnahmung) Identifizieren und Verteilen von Paketdienstwaren Bestandskontrollen und Korrekturen im ERP System Durchführung der jährlichen und permanenten Inventur Über Ritter, ein Unternehmen von Avantor Ritter ist ein globaler Hersteller von Hochpräzisionsprodukten und gilt als der am schnellsten wachsende Hersteller von hochwertigen Robotern und Verbrauchsmaterialien für das Liquid Handling. Mit mehr als 400 talentierten Mitarbeitern an zwei Standorten in Deutschland ist unser Team für jeden Aspekt des Produktionsprozesses gerüstet, vom Design und Formenbau über das Spritzgießen mit einer Reihe von Maschinen (20 bis 660 Tonnen) bis hin zu Montage und Druck. Unser Produktportfolio besteht ausschließlich aus unseren eigenen Kreationen, die sich auf drei Kernbereiche konzentrieren: Kartuschen: Wir bieten ein weltweit führendes Sortiment an Kartuschensystemen für Verpackungsdichtstoffe, Klebstoffe, Druckfarben und mehr. Medizin: Wir bieten Verbrauchsmaterialien für den Labor-, Krankenhaus-, Medizin- und Veterinärbedarf, die alle in Reinraumumgebungen hergestellt werden. Baumaterialien: Zu unserem Angebot gehören Rasengitter, EquiTerr für die Errichtung von Reithallen und Pferdekoppeln sowie Lösungen für Parkplätze und Hangbefestigungen. Warum Avantor? Trauen Sie sich, Karriere zu machen. Schließen Sie sich unserem globalen Team von mehr als 14.000 Mitarbeitern an, die mit ihrer Leidenschaft für Entdeckungen und ihrer Entschlossenheit, Herausforderungen zu meistern, unermüdlich die lebensverändernde Wissenschaft voranbringen. Unsere Arbeit verändert das Leben der Menschen zum Besseren. Sie bringt neue Behandlungen und Therapien für Patienten auf den Markt und gibt einem Krebsüberlebenden die Chance, seine Tochter vor den Traualtar zu führen. Sie ermöglicht medizinische Geräte, die einem kleinen Jungen helfen, zum ersten Mal im Leben die Stimme seiner Mutter zu hören. Ergebnisse wie diese schaffen unbegrenzte Möglichkeiten für Sie, Ihre Talente einzubringen, neue Fähigkeiten zu erlernen und Ihre Karriere bei Avantor weiterzuverfolgen. Wir helfen Ihnen unbeirrt auf diesem Weg durch unsere vielfältige, gleichberechtigte und integrative Kultur, die personalisierte Lernerfahrungen beinhaltet, um Ihre berufliche Entwicklung und Ihren Erfolg zu fördern. Bei Avantor können Sie es wagen, über sich hinauszuwachsen und zu sehen, wie die Auswirkungen Ihrer Beiträge die Wissenschaft in Bewegung setzen, um eine bessere Welt zu schaffen. Bewerben Sie sich noch heute! #LI-EUR #LI-Onsite Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ********** and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Privacy Policy: We will use the personal information that you have submitted to us in order to consider your application for the relevant role. Your privacy is important to us. Please click here for our Privacy Policy which explains the purposes for which we will use your personal information and the ways in which we will handle and retain your information. It also explains the rights you have in relation to your information, and how to contact us with any queries or requests. 3rd Party Non-Solicitation Policy: By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation. Avantor, a Fortune 500 company, is a leading global provider of mission-critical products and services to customers in the biopharma, healthcare, education & government, and advanced technologies & applied materials industries. Our portfolio is used in virtually every stage of the most important research, development and production activities in the industries we serve. One of our greatest strengths comes from having a global infrastructure that is strategically located to support the needs of our customers. Our global footprint enables us to serve more than 225,000 customer locations and gives us extensive access to research laboratories and scientists in more than 180 countries. We set science in motion to create a better world.Über das Unternehmen:Germany - Ritter GmbH
Business Development Intern @Deltia (Remote)
Merantix, Berlin
What we doWe are an exciting new AI start-up creating the future of manufacturing! We believe that blue-collar workers are an essential part of this transformation. We are dedicated to empowering these workers by assisting them in their daily tasks and unlocking the full potential of manual labor through productivity and flexibility.We are utilizing cutting-edge technology, such as computer vision and artificial intelligence, to revolutionize manufacturing by providing workers with the tools they need to improve their productivity beyond current limitations. Our focus is initially on assembly processes, but we plan to expand to other areas, including material consignment and machine repair activities. By improving efficiency, we aim to make products more affordable and use resources more sustainably.Our team is led by experienced entrepreneurs Max and Silviu. Max has previously founded a company in manufacturing that digitized 40 factories, and Silviu holds a PhD in computer science and is a computer vision expert. He has previously led a team that developed a robot taxi service at Volkswagen and built a startup in the security industry. Our team includes members from top-tier universities such as ETH and MIT, as well as individuals with entrepreneurial experience in the fashion industry and at leading research institutions like Fraunhofer. At our company, we value hard work, creativity, and a willingness to learn and grow. We are committed to fostering a diverse and inclusive workforce and welcome candidates of all backgrounds. Our job is 100% remote, and we actively support a healthy work-life balance. Additionally, we offer a comprehensive benefits package that includes medical insurance and a learning and development budget. Furthermore, we provide flexible scheduling options and the opportunity for employees to set their own schedule to support our employee's families and personal responsibilities.We are financially backed by Merantix, the world’s first AI Venture Studio. We are proud to be part of a team that includes some of the world’s most talented engineers, scientists, and entrepreneurs from prestigious universities such as Yale, Oxford, and Harvard. Our studio is based on the Berlin AI Campus, and we have already founded seven ventures to date, employing over 150 people between our studio and our ventures. This presents an opportunity for you to join our ecosystem and collaborate with AI and business experts from various industries, who will support you in your professional development and in balancing your personal and professional responsibilities.Your roleThis is a remote role. Therefore, you’d be able to work anywhere you want within Europe.We are looking for a very ambitious individual who wants to help us shape the future of manufacturing. Being one of the first business team members, you will help us identify, evaluate, and act on business development opportunities. You will develop and set up operations to grow our business. This is a highly impactful role as you will work directly with the founders, shaping the product and helping us deliver value to our customers.In short:Sales Strategy & Outreach: Research and identify potential customers, carry out strategic outreach to generate leads, and manage interactions to drive conversions.Presentation & Proposal Creation: Create compelling sales presentations tailored to potential customers, draft proposals addressing their specific needs, and ensure follow-ups to close sales deals.Data Management & Analysis: Maintain and manage the customer database, track and analyze sales data to understand trends, and provide reports to the team on sales performance.Exploring New Channels: Proactively identify and explore new channels, platforms, or strategies to enhance and optimize sales efforts, ensuring our reach and impact continue to grow.Your profileWe define ourselves by a culture of ownership and cooperation. We are looking for driven, capable, visionary, and prudent talents with proven track records of personal, academic, and professional achievement. You have an undergraduate degree or are in your final year at a top-­tier university, MA/MSc is a plus.You have gained professional experience in an impactful entrepreneurial environment, at a leading technology company, or in management consultancy/ venture capital.Superb English communication skills, both verbal and written, and interpersonal skills and an ability to effectively communicate with both business and technical teams.You have a long-­held interest in technology, both personally and professionally.You have strong organizational and multitasking skills with the ability to prioritize appropriately and effectively.You are available to work with us for full-time for 6 months at a time.What we offerPaid internship position.A Brand new office situated on the AI Campus in Berlin where we closely cooperate with other exciting AI ventures - although we work remotely, you can still work from the campus if you wishHardware allowance. We give you support to have all the equipment you would need to thrive on your jobInternational Team: Within our current team we have more than 10 nationalities and counting Engaging Topics and Excellence: Merantix offers unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneursEthics: We are committed to developing ethical AI softwareDynamic working culture: We hold weekly and monthly events around AI Innovation and Implementation. We have a very flat hierarchy, open 360° feedback, and flexible working hoursLearning and Development. Annual learning and development budget to attend conferences or purchase educational resources to develop additional skills further Standort Merantix, Berlin
Senior Data Scientist (all genders)
Eraneos, Hamburg, Shanghai, Singapore, Atlanta, remote
Read job description in: GermanDEEnglishDas findest Du bei uns Wir sind ein technisches, umsetzungsorientiertes Spin-Off einer global agierenden Managementberatung. Zu unseren Kunden gehören primär DAX und Fortune Global 500 Unternehmen, die wir zu Fragen in den Bereichen Analytics, Big Data und Machine Learning beraten. Wir übernehmen in der Gruppe die Entwicklung von individuellen und datengetriebenen Lösungen, um so unsere Kunden in KI-gestützte Unternehmen zu transformieren. Wir bieten ein internationales Arbeitsumfeld mit agilen Teams und kreativen Startup-Methoden sowie eine überdurchschnittliche Vergütung und zahlreiche Zusatzleistungen. Mit unserem HQ in Hamburg und unseren Hub-Standorten in allen deutschen Großstädten (München, Berlin, Frankfurt und Stuttgart) stellen wir sicher, dass alle Kollegen deutschlandweit in unser Expertenteam eingebunden sind. Als Senior Data Scientist übernimmst Du folgende spannende Aufgaben: Du hast Spaß an der Beratung und Coaching des Kunden zu Data Science ThemenDu sorgst für die Datenaufbereitung und ValidierungDie Modellierung und Evaluierung von Vorhersagemodellen und neuronalen Netzen verantwortest Du ebenfallsIn der Anwendung von Algorithmen und Machine Learning Methoden auf geschäftsrelevante Fragestellungen kennst Du Dich bestens ausDie Visualisierung von Ergebnissen und Ableitung von Handlungsempfehlungen sind ein Leichtes für DichDie Auswahl und Einführung von Big Data Tools und Technologie-Stacks runden Deinen Aufgabenbereich abDas bist DuDu hast bereits seit einiger Zeit ein abgeschlossenes Studium in der TascheMindestens 3 Jahre Erfahrung im Bereich Data Science und Big Data setzen wir vorausSowie mindestens 3 Jahre Erfahrung in der Anwendung von Analysetechniken aus den Bereichen Data Mining, Statistical Modelling und Machine Learning Andere würden Dich als analytischen, kreativer Denker beschreibenMit den gängigen Analysetools und Programmiersprachen (insbesondere Python) kennst Du Dich bestens ausIdealerweise verfügst Du zusätzlich über Kenntnisse der gängigen Cloud-Plattformen (AWS, Azure, GCP)Du bringst eine hohe Ergebnis- und Kundenorientierung mit und bist bereit projektbedingt zu reisenDu steckst voller Innovationsfreude und bist eine kommunikative PersonDu sprichst fließend Deutsch (mindestens B2) und EnglischDas sind wirBei uns findest Du eine abwechslungsreiche Tätigkeit im KI-UmfeldFlexible Arbeitszeiten und -orte wie Home-Office sind für uns selbstverständlichDuz-Kultur, kurze Kommunikationswege und viele tolle, erfahrene, internationale Kollegen, die Dir jederzeit zur Seite stehen Unternehmensweite, internationale Events, die sich sehen lassen könnenCompany Bike und Bezuschussung Deiner Fitnessmitgliedschaft (EGYM Wellpass)Gezielte und individuelle Trainings für Deine fachliche und persönliche WeiterentwicklungEine zentrale Lage in Hamburgs Innenstadt mit guter Verkehrsanbindung (Bus & Bahn), sowie Hub-Standorte in allen deutschen GroßstädtenTäglich frisches Obst, guten Kaffee, Snacks, Softdrinks & FeierabendbierWir haben Dein Interesse geweckt? Dann freuen wir uns über Deine Bewerbung! So erreichst Du uns Marie Enkelmann – ********** – +49 40 809 081-172 Unsere oberste Priorität ist, dass Du zu uns passt und wir zu Dir, unabhängig von Herkunft, Nationalität, sexueller Orientierung, Religion, Geschlechtsidentität, Alter, Handicap oder anderen Aspekten der Vielfalt. Bewerbe Dich gerne über unser Unternehmensportal mit Deinem CV und / oder Deinem aktualisierten Xing bzw. LinkedIn Profil. Interessiert es dich, was unsere Mitarbeitenden und andere Bewerber/innen über uns sagen? Besuche uns auf Kununu und folge uns auf Social Media, um die aktuellsten News über uns nicht zu verpassen.Eraneos Germany als Arbeitgeber: Gehalt, Karriere, Benefits (kununu.com) Apply for this job Über unsWhat you will find with us We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our HQ in Hamburg and our hub locations in all major German cities (Munich, Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany. As a Senior Data Scientist, you will take on the following exciting tasks: You enjoy advising and coaching clients on data science topics.You take care of data preparation and validationYou will also be responsible for modelling and evaluating predictive models and neural networksYou are well versed in the application of algorithms and machine learning methods to business-relevant issuesVisualising results and deriving recommendations for action are easy for youThe selection and introduction of Big Data tools and technology stacks round off your area of responsibilityWho you areYou have already had a degree in your pocket for some timeAt least 3 years of experience in the field of data science and big data is a prerequisiteAt least 3 years of experience in the application of analytical techniques in the areas of data mining, statistical modelling and machine learningOthers would describe you as an analytical, creative thinkerYou are familiar with common analysis tools and programming languages (especially Python)Ideally, you also have knowledge of common cloud platforms (AWS, Azure, GCP)You are highly result- and customer-oriented and are willing to travel for projectsYou are full of innovative spirit and are a communicative personYou speak fluent German (at least B2) and English Who we areAt our company you will find a varied job in the AI environmentFlexible working hours and locations such as home office are a matter of course for usA familiar culture, short communication channels and lots of great, experienced, international colleagues who are always there to support you Company-wide, international events that are well worth seeingCompany bike and subsidisation of your fitness membership (EGYM Wellpass)Targeted and individual training for your professional and personal developmentA central location in Hamburg's city centre with good transport links (bus & train), as well as hub locations in all major German citiesDaily fresh fruit, good coffee, snacks, soft drinks & after-work beer Have we aroused your interest? Then we look forward to receiving your application! Contact Marie Enkelmann - ********** - +49 40 809 081-172. ​ Our top priority is that you fit us and we fit you, regardless of origin, nationality, sexual orientation, religion, gender identity, age, handicap or other aspects of diversity. Our dedicated HR Team will be happy to provide you with further information and is looking forward to receiving your CV and / or your complete and expressive Linked in / Xing profile. Are you interested in what our employees and other applicants say about us? Visit us on Kununu and follow us on social media to not miss the latest news about us. Eraneos Germany als Arbeitgeber: Gehalt, Karriere, Benefits (kununu.com) Apply for this job About us Apply for this job Über das Unternehmen:Eraneos
Unleash Your Impact: Founders Associate in VC backed Food- and Biotech Company
ProteinDistillery, Berlin
Join the Food Revolution to Combat Climate Change!Are you fueled by a passion for tackling some of the world’s most pressing challenges?Do you believe that technology and innovation can pave the way for a sustainable future?Do you want your job to directly impact sustainable food and a healthier planet?If your answer to these questions is a resounding "YES," then it's time to take a closer look at!TasksAs a Founders Associate at ProteinDistillery, you'll be the accelerator for change. You will assist our leadership team in navigating the multifaceted challenges, including strategizing for business development, conducting market research, handling data analysis, assist in preparing investor and partnership meetings and executing organizational tasks, while reporting directly to the C-level.If you're someone who thrives on intellectual agility and quick comprehension, eager to co-create and propel strategic initiatives, this role is for you.Requirements You're the Ideal Candidate If … You're eager to learn the ins and outs of launching a business in a rapidly evolving landscape. You excel at distilling complex subjects into concise, easily digestible information. You thrive on solving problems proactively and enjoy generating innovative yet practical solutions. Your knack for juggling multiple tasks and managing your time effectively sets you apart.Benefits Why Join ProteinDistillery Today?We're in the exciting start-up phase, offering a blank canvas to innovate without restrictions!Backed by top VCs and stellar angel investors, we have industry leaders already on board!Seize the moment! Food tech is at a pivotal crossroads, and sustainable options are on the rise. Help us make vegan food irresistibly delicious, compelling millions to make the quick switch from animal based mainstream! Workspace and Culture We're on the verge of building something huge — In the next three to four years, we envision a global team, hence the need for seamless remote operations. Initially, however, we feel that our culture and team spirit will thrive best by sharing physical space in our inviting offices based in Stuttgart & Berlin. A Note on Diversity & InclusionWe're committed to equal opportunities and value diversity. Our unifying factor is alignment with ProteinDistillery's mission and core values. We welcome applicants of any background, age, gender, or orientation.ProteinDistillery is a food-tech startup that develops a new generation of highly functional, vegan protein ingredients for food companies based on microorganisms - currently derived from brewer's yeast. We envision a more sustainable future through significant changes in the food system - a future where vegan alternatives match the original in every aspect and are free from additives. Our team consists of highly qualified entrepreneurs and scientists. In our own modern office with an adjacent small laboratory, we bring innovations to life every day. Standort ProteinDistillery, Berlin
Research Scientist (all genders) Stem Cell
Evotec SE, Hamburg
The iPSC department at Evotec headquarters in Hamburg is seeking a highly motivated and dedicated Research Scientist (all genders) Stem Cell Full-time and permanent Your key responsibilities: Provide disease expertise to identify, develop, and validate new targets for the development of novel treatments in the area of neuroscience this can include but is not restricted to neurodegeneration, neuroinflammation, mental health and pain Lead drug discovery project(s) scientifically along the entire pre-clinical drug development process Provide proposals and scientific expertise to continuously advance and improve the iPSC drug discovery platform through new technologies and project ideas, both internally as well as in collaboration with our partners Maintain an awareness of cutting-edge technological advances and scientific knowledge to improve project performance Manage multidisciplinary teams and assign their work to meet project timelines and goals Deliver documents, technical reports and presentations in an accurate and timely manner Represent Evotec’s stem cell drug discovery capabilities internally and externally Your ideal qualifications: PhD in Biology or other relevant field with a strong focus iPSC biology and neuroscience research Experience in drug discovery from pharmaceutical or biotech industry is a plus High level of disease biology understanding relevant to neurodegeneration, neuroinflammation, mental health or pain In depth knowledge of human iPSC and other in vitro models in the relevant disease areas Profound knowledge and hands-on expertise of maintaining, manipulating and differentiating human iPSC Experience in assay development and adaptation for high throughput screening High level of motivation, initiative, flexibility and ability to work well in a cross-functional team Excellent communication & people skills as well as first experience in managing and professionally developing other scientists and technical staff Ability to work independently Full proficiency of English language – both written and spoken Our offer: A position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community A diverse, international workforce with a dynamic working environment that fosters creativity, innovations and teamwork 30 days of annual holiday, monthly allowance for public transportation, and in-house canteen Capital forming benefits, flexible working hours, holiday pay, and annual bonus depending on performance To apply, please click on the “Apply” button and provide your application documents (CV and cover letter, including earliest possible start date and salary requirements). We are looking forward to getting to know you and to your application. FR : Dans le cadre de sa politique Diversité, Evotec étudie, à compétences égales, toutes les candidatures dont celles des personnes en situation de handicap. ENG : In the frame of our Diversity policy, Evotec considers, with equal competences, all applications including people with disabilities. Evotec is a life science company with a unique business model that delivers on its mission to discover and develop highly effective therapeutics and make them available to the patients. The Company’s multimodality platform comprises a unique combination of innovative technologies, data and science for the discovery, development, and production of first-in-class and best-in-class pharmaceutical products. Evotec leverages this “Data-driven R&D Autobahn to Cures” for proprietary projects and within a network of partners including all Top 20 Pharma and over 800 biotechnology companies, academic institutions, as well as other healthcare stakeholders. Evotec has strategic activities in a broad range of currently underserved therapeutic areas, including e.g. neurology, oncology, as well as metabolic and infectious diseases. Within these areas of expertise, Evotec aims to create the world-leading co-owned pipeline for innovative therapeutics and has to-date established a portfolio of more than 200 proprietary and co-owned R&D projects from early discovery to clinical development. Evotec operates globally with more than 5,000 highly qualified people. The Company’s 17 sites offer highly synergistic technologies and services and operate as complementary clusters of excellence. For additional information please go to www.evotec.com and follow us on X/Twitter @Evotec and LinkedIn. Please click on the link below to access and review our Privacy Information for Applicants: Privacy Information for ApplicantsÜber das Unternehmen:Evotec SE
Associate Account Manager (m/f/d) in Berlin or Konstanz
KNIME AG, Berlin
DescriptionKNIME is growing rapidly and we’re seeking smart, motivated, and creative people up for the challenge of helping us achieve ambitious scaling goals while continuing to empower the active community. Right now, we are looking for an Associate Account Manager to join our team at KNIME in Berlin or Konstanz.*Who you areYou are a results-driven and hands-on Associate Account Manager to manage KNIME's inbound sales leads. Your role will be to identify and qualify new sales opportunities to grow KNIME sales for the Life Sciences market. You must have the ability to understand the sales process and technology stack and ensure its adoption. We need a self-starter motivated to work hard, who has:interpersonal and excellent verbal and written communication skills.organizational and project management skills with the ability to handle pressure and a high volume of tasks in a results-oriented environment.analytical skills and the ability to understand the need to track everything you do.relevant experience and proven success in sales or business development in the software/tech industry or in a startup is a plus. Also an understanding of data science would be really nice but is not a must-have as we can teach you what you need to know. Additional languages beyond English are a bonus. A healthy sense of humor is also always appreciated.That's the jobYour main role will be to engage with our Sales and Marketing team to design, research and execute outbound vertical and/or geographical market campaigns to grow the sales pipeline. In addition to your outbound prospecting, you will also help manage inbound leads - connecting via phone, email, LinkedIn and qualifying them. You will also work with our Account Managers and Global Account Directors to prospect large enterprise deals and also educate and nurture early-phase prospects for potential future opportunities. This will include demonstrating knowledge of KNIME and its value proposition, conversing with data and business leaders in the life sciences industries such as Pharma, Biotechs, Agrochemicals, Dies, and Oils. Finally, you will help analyze and report on your weekly activities to identify potential optimizations.About usKNIME is a fast-growing international Enterprise Software company. At KNIME, we build useful software to help individuals and organizations make sense of their data through an intuitive, visual approach to data analytics and through integrations to the most advanced data science and AI/ML techniques on the market. KNIME Software comprises two products: the free and open KNIME Analytics Platform which has an intuitive low-code, no-code interface that allows anyone from spreadsheet users to seasoned data scientists to analyze their data; and KNIME Business Hub, its commercial complement that allows for large-scale collaboration and dissemination of insights across an enterprise.At its core, we are an open-source company, which requires KNIMErs to challenge often and rethink conventional commercial strategies and ensure that the user – whether free or paid– is at the center of every decision being made. At KNIME, you’ll gain experience working with industry leaders in their field – KNIME is used by many Fortune 500 enterprise customers, across 50 countries.*Though we are happy to have applicants from further away, we’re not offering relocation benefits for this position. Standort KNIME AG, Berlin
Biostatistician / Data Scientist (f/m/d) in Personalized Healthcare
6164 Roche Diagnostics GmbH, Penzberg, Bayern
The PositionA healthier future. That’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.With a department of more than 100 biostatisticians, data scientists and data managers at the Roche sites in Penzberg, Mannheim, Indianapolis and Sant Cugat des Vallès, we are supporting global projects to deliver new diagnostics to patients.As a Biostatistician / Data Scientist (f/m/d) in Personalized Healthcare, you and your future colleagues will focus on applying state-of-the-art statistical and data science methods to drive innovative projects in the field of personalized healthcare and companion diagnostics.Your key responsibilitiesYou will work as a project statistician and support the development of new biomarkers.You are responsible for planning and analyzing analytical and clinical studies.You will interact closely with the project team members (R&D, Clinical Operations, Clinical Development, Regulatory Affairs, external cooperation partners and customers) to capture data analysis requirements and to interpret and communicate the results in an understandable way.You will have the opportunity to apply multivariate machine learning methods for the development of new clinical algorithms.Your profileUniversity degree in (bio)statistics or related subjects (e.g. mathematics, epidemiology, physics), ideally with a PhD and extensive experience in statistics.You have experience in the life science/diagnostics/pharmaceutical industry or have successfully completed clinical data analysis projects in an academic environment.You are familiar with common diagnostic and statistical methods (e.g. logistic regression, ROC analysis, cut-off determination) and have experience in the design, analysis and evaluation of analytical and clinical studies.You have experience with statistical methods such as classification, survival and longitudinal analysis models and you are enthusiastic about the application and implementation of new statistical methods.You have excellent knowledge of R and LaTeX, ideally knitr or R markdown.You have excellent communication, organization and documentation skills as well as very good written and spoken English. German is an advantage.This position is a 2-year temporary contractYour applicationWe make things easier for you: Please upload only your current and informative CV and your certificate of your highest degree. However, we are happy to receive additional documents, such as a letter of motivation and certificates, which will help us to find out more about the reasons for your application.We look forward to receiving your application!Your contact to us! With people. For people.Do you need more support? Our Talent Acquisition Team welcomes your questions. Please send an email to**********Who we areAt Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.Roche at Penzberg, near Munich, employs more than 7,000 people. The site is one of the largest biotechnology centers in Europe and the only Roche site with research, development and production for both Pharmaceuticals and Diagnostics under one roof. From your beginning with Roche, our motivated team will welcome and support you. Numerous opportunities for personal development, flexible work hours, attractive compensation packages and special family assistance programs are available.Roche is an Equal Opportunity Employer.Über das Unternehmen:6164 Roche Diagnostics GmbH
Data Scientist als Analyst Data Management
Value AG the valuation group - Karriere, Merseburg
Die VALUE AG ist Deutschlands größter bankenunabhängiger Full-Service-Dienstleister in der Immobilienbewertungsbranche. Mit unseren Geschäftsbereichen bilden wir die vollständige Wertschöpfungskette der Immobilienbewertungen aller Assetklassen ab und begleiten unsere Kund:innen als kompetente:r Partner:in. Wir laden dich ein, unser Unternehmen mitzugestalten und bei uns deine eigene VALUE-Story zu schreiben. Wandel, Zukunftsorientierung und Dynamik sind dabei genauso feste Bestandteile unserer DNA wie Vertrauen und Wertschätzung. Du möchtest dich, dein Talent und die VALUE kontinuierlich weiterentwickeln? Dann freuen wir uns auf deine Bewerbung. Für unsere Reise zu einer produkt- und technologiegetriebenen Firma suchen wir für unsere Standorte Leipzig oder Berlin (mit Home-Office Möglichkeit) zum nächstmöglichen Zeitpunkt eine:n (Senior) Analytics Engineer (w/m/d) Die VALUE AG ist ein 100%iges Tochterunternehmen der Hypoport SE, einem Technologiedienstleistungsnetzwerk der FinTech, PropTech und InsurTech-Branche. Die Hypoport SE ist an der Deutschen Börse im Prime Standard gelistet und seit Ende 2015 im SDAX. Wie sehen deine Aufgaben bei uns aus? Entwicklung, Wartung und Optimierung von Datenpipelines und ELT-Prozessen, um eine saubere, stabile und umfassende Grundlage für die Analysearbeit zu schaffen. Implementierung, Testen und Überwachung von Datenmodellen, um eine starke Datenarchitektur zu gewährleisten. Enge Zusammenarbeit mit Fachabteilungen und Stakeholdern, um datengetriebene Lösungen zu entwickeln und Geschäftsanforderungen in umsetzbare Datenstrukturen zu übersetzen. Gewährleistung der Datenqualität und Einhaltung von Datenschutzrichtlinien. Unterstützung bei der Definition und Implementierung von Datenstrategien und der kontinuierlichen Verbesserung der Datenarchitektur und -infrastruktur. Beratung und Unterstützung bei der Implementierung neuer Technologien und Tools, um die Datenverarbeitung und -analyse zu optimieren. Anwendung von Best Practices in den Bereichen Data Engineering und Analytics. Wer bist du? Mehrjährige Erfahrung in der Datenanalyse und -verarbeitung. Kenntnisse in Cloud-Technologien wie AWS, Azure oder Google Cloud. Verständnis von Datenmodellierung und Data Warehousing. Kenntnisse von dlt/dbt sind von Vorteil. Tiefgründige Kenntnisse in SQL und idealerweise Erfahrung mit Python und/oder R. Erfahrung mit BI-Tools wie Tableau, Power BI oder ähnlichen. Fähigkeit, komplexe Probleme zu analysieren und zu lösen. Du sprichst fließend Deutsch (mind. C1-Niveau) und bringst sehr gute Englischkenntnisse mit. Was wir bieten: Freies und flexibles Arbeiten ist für uns selbstverständlich. Viele Möglichkeiten zum Lernen u.a. durch den Austausch mit den Tech Teams anderer Hypoport-Netzwerkunternehmen – wir bleiben in Bewegung! Transformation und spannende Projekte gehören bei uns zum Tagesgeschäft. 30 Urlaubstage. Mehrmals die Woche bezahltes Mittagessen an unserem Standort in Leipzig. Budget für Weiterbildungen. Team-Events und After-Work-Partys, u.a. an der eigenen Bar. P.S. Darüber hinaus gibt es weitere Benefits wie u.a. Gesundheitsmanagement, betriebliche Altersvorsorge, DienstRad, und weitere Und jetzt? Du hast Lust, mit uns durchzustarten? Bewerben kannst du dich ganz entspannt über unsere Webseite. Da musst du keine langen Formulare ausfüllen. Einfach deine Dokumente hochladen und fertig. Du hast Fragen? Sprich mit Laura! Laura Grande People & Culture Recruiting Partner the valuation group Standort Value AG the valuation group - Karriere, Merseburg
Internal Audit-Frankfurt-Associate-Regional Audit
Goldman Sachs, Frankfurt
INTERNAL AUDIT In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm's compliance with laws and regulations, and advising management on developing smart control solutions. Our group has unique insight on the financial industry and its products and operations. We're looking for detail-oriented team players who have an interest in financial markets and want to gain insight into the firm's operations and control processes. WHAT WE LOOK FOR Goldman Sachs Internal Auditors demonstrate strong risk and control mindsets, analytical, exercise professional skepticism and are able to challenge and discuss effectively with management on risks and control measures. We look for individuals who enjoy learning about audit, businesses and functions, have innovative and creative mindsets to adopt analytical techniques to enhance audit techniques, building relationships and are able to evolve and thrive in teamwork and in a fast-paced global environment. YOUR IMPACT As the third line of defense, Internal Audit's mission is to independently assess the firm's internal control structure, including the firm's governance processes and controls, and risk management and capital and anti-financial crime frameworks, raise awareness of control risk and monitor the implementation of management's control measures. In doing so, internal Audit: Communicates and reports on the effectiveness of the firm's governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm's control culture and conduct risks Monitors management's implementation of control measures Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm's businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. The Regional Audit team in Frankfurt is responsible for auditing the activities of Goldman Sachs Bank Europe SE. RESPONSIBILITIES Develop and maintain a good understanding of business areas, its products, and supporting functions Plan and execute audit testing to ensure audit fieldwork is focused on the right areas and documentation meets high quality standards Identify risks, assess mitigating controls, and make recommendations on improving the control environment Prepare commercially effective audit conclusions and findings, and present to IA senior management and business stakeholders Follow-up on open audit issues and their resolution SKILLS AND RELEVANT EXPERIENCE 4-year degree in a finance, accounting, risk management or quantitative discipline, and ideally a graduate degree in a related subjectTeam-oriented with a strong sense of ownership and accountability 3 -7 years of experience in internal audit, or an independent validation function within the financial services industry or Big 4 risk advisory Strong interpersonal, and relationship management skills Strong verbal and written communication skills Solid analytical skills Good technical knowledge of relevant product areas Highly motivated with the ability to multi-task and remain organized in a fast-paced environment Awareness of relevant EU regulations Relevant certification or industry accreditation (., CPA, CFA, CIA) is a plus ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at /careers. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Standort Goldman Sachs, Frankfurt
Data Scientist als Analyst Data Management
Value AG the valuation group, Merseburg
Die VALUE AG ist Deutschlands größter bankenunabhängiger Full-Service-Dienstleister in der Immobilienbewertungsbranche. Mit unseren Geschäftsbereichen bilden wir die vollständige Wertschöpfungskette der Immobilienbewertungen aller Assetklassen ab und begleiten unsere Kund:innen als kompetente:r Partner:in. Wir laden dich ein, unser Unternehmen mitzugestalten und bei uns deine eigene VALUE-Story zu schreiben. Wandel, Zukunftsorientierung und Dynamik sind dabei genauso feste Bestandteile unserer DNA wie Vertrauen und Wertschätzung. Du möchtest dich, dein Talent und die VALUE kontinuierlich weiterentwickeln? Dann freuen wir uns auf deine Bewerbung. Für unsere Reise zu einer produkt- und technologiegetriebenen Firma suchen wir für unsere Standorte Leipzig oder Berlin (mit Home-Office Möglichkeit) zum nächstmöglichen Zeitpunkt eine:n (Senior) Analytics Engineer (w/m/d) Die VALUE AG ist ein 100%iges Tochterunternehmen der Hypoport SE, einem Technologiedienstleistungsnetzwerk der FinTech, PropTech und InsurTech-Branche. Die Hypoport SE ist an der Deutschen Börse im Prime Standard gelistet und seit Ende 2015 im SDAX. Wie sehen deine Aufgaben bei uns aus? Entwicklung, Wartung und Optimierung von Datenpipelines und ELT-Prozessen, um eine saubere, stabile und umfassende Grundlage für die Analysearbeit zu schaffen. Implementierung, Testen und Überwachung von Datenmodellen, um eine starke Datenarchitektur zu gewährleisten. Enge Zusammenarbeit mit Fachabteilungen und Stakeholdern, um datengetriebene Lösungen zu entwickeln und Geschäftsanforderungen in umsetzbare Datenstrukturen zu übersetzen. Gewährleistung der Datenqualität und Einhaltung von Datenschutzrichtlinien. Unterstützung bei der Definition und Implementierung von Datenstrategien und der kontinuierlichen Verbesserung der Datenarchitektur und -infrastruktur. Beratung und Unterstützung bei der Implementierung neuer Technologien und Tools, um die Datenverarbeitung und -analyse zu optimieren. Anwendung von Best Practices in den Bereichen Data Engineering und Analytics. Wer bist du? Mehrjährige Erfahrung in der Datenanalyse und -verarbeitung. Kenntnisse in Cloud-Technologien wie AWS, Azure oder Google Cloud. Verständnis von Datenmodellierung und Data Warehousing. Kenntnisse von dlt/dbt sind von Vorteil. Tiefgründige Kenntnisse in SQL und idealerweise Erfahrung mit Python und/oder R. Erfahrung mit BI-Tools wie Tableau, Power BI oder ähnlichen. Fähigkeit, komplexe Probleme zu analysieren und zu lösen. Du sprichst fließend Deutsch (mind. C1-Niveau) und bringst sehr gute Englischkenntnisse mit. Was wir bieten: Freies und flexibles Arbeiten ist für uns selbstverständlich. Viele Möglichkeiten zum Lernen u.a. durch den Austausch mit den Tech Teams anderer Hypoport-Netzwerkunternehmen – wir bleiben in Bewegung! Transformation und spannende Projekte gehören bei uns zum Tagesgeschäft. 30 Urlaubstage. Mehrmals die Woche bezahltes Mittagessen an unserem Standort in Leipzig. Budget für Weiterbildungen. Team-Events und After-Work-Partys, u.a. an der eigenen Bar. P.S. Darüber hinaus gibt es weitere Benefits wie u.a. Gesundheitsmanagement, betriebliche Altersvorsorge, DienstRad, und weitere Und jetzt? Du hast Lust, mit uns durchzustarten? Bewerben kannst du dich ganz entspannt über unsere Webseite. Da musst du keine langen Formulare ausfüllen. Einfach deine Dokumente hochladen und fertig. Du hast Fragen? Sprich mit Laura! Laura Grande People & Culture Recruiting Partner the valuation group Standort Value AG the valuation group, Merseburg
Senior Associate Principal Scientist (m/f/d)
Mondelēz International, Munich
Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. The holder of this position is a internally and externally recognized dairy technology expert of critical importance to the organization. Strong technical contributor to the development of cross regional strategic plans and initiatives. Keeps current on developments inside and outside the company that are pertinent to the job. Interfaces regularly with senior management and represents the company within the dairy industry and academia. Contributes to creative and innovative solutions to technical challenges and creation of new business opportunities (global & cross regions). How you will contribute Contributes to development of cross regional strategic plans and initiatives, ~ to creative and innovative solutions / technical challenges Leverages external resources and builds internal network across regions and across functions. Directs, guides, plans and conducts independently trials / programs at bench top, pilot plant and also factory scale. Concludes the trials including storage, sample analysis (physical, chemical and sensorial analysis), interpretation of results and effective reporting to guide project and strategic decisions. Follows up with suppliers on specific product or equipment related topics. Delivering expert technical knowledge and input to address business needs, effectively present them to key business partners, collect feedback and advice on next steps. Conducts and guide project reviews. Ensures consistency, technical precision and compliance with methods of work, technical policies and procedures. Recommends improvements within own project area. Conducts relevant legal compliance checks, IP searches and nutritional profiling. Issues research reports and technical documentation. Connects within the dairy industry and academia, represents Mondelez in external research programs. Effective leadership of and contribution in teams. What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Diploma, Master Degree, ideally PhD in Dairy Engineering and Technology, Food Science, Food Technology or Food Engineering At 5 - 10 years on comparable job as experience Strong technical knowledge in dairy and processing, especially dairy proteins and fats. Experiences and knowledge in filtration technology is an advantage. Has applied expertise in discsiplin to several products. Ideally experiences in plant-based processing and products Strong project management skills Ability to communicate and collaborate efficiency with cross-functional colleagues and leverage internal and external resources as collaborators. Excellent presentation skills Excellent organizational skills, including time management, priority setting, paired with a proactive attitude Proven track record in applied science / research including reading scientific papers, patents etc. Creativity and pro-active approach Team oriented and enthusiastic about working in a global environment. Fluent in spoken and written English and ideally German, any other language is an advantage The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by Mondelēz Europe GmbH, Switzerland . Country to country Relocation support available through our Global Mobility Policies Business Unit Summary At Mondelez Europe, we are proud, not only of the iconic brands we make, but also of the people who make them. Our delicious products are created in 52 plants across Europe by more than 28,000 passionate people. We are the top maker of chocolate and biscuits and a leading maker of gum and candy. We make sure our powerful global brands and local jewels like , and chocolates, , , and biscuits, and and gums get safely into our customers hands—and mouths. Great people and great brands. That’s who we are. Join us on our journey to continue leading the future of snacking around the world by offering the right snack, for the right moment, made the right way. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type RegularProcess Development & EngineeringScience & Engineering Standort Mondelēz International, Munich
Associate Director Real World Evidence Scientist (all genders) - (part-time/full-time)
Merck KGaA, Darmstadt, Germany, Darmstadt
An exciting opportunity awaits you within the Patient Focused Real World Evidence (PRWE) Team. As passionate leaders of patient focused real world data, evidence generation, and epidemiology, we are uniquely placed to enable fit-for-purpose visionary solutions with real world and patient focused data from early development and throughout the drug life span. Our team operates with a proactive and agile approach, as a trusted partner in qualitative and quantitative sciences, all while striving towards the common goal to deliver more medicines to more patients faster.As a key member of our team, you will drive the Real-World Evidence and Data (RWE/D) strategy and studies across the lifecycle of drugs, with a particular focus on drug development and excellence in integrated evidence planning. You will provide scientific leadership and expertise to ensure that fit-for-purpose RWD are integrated in evidence generation plans and available in a timely manner to support regulatory submissions and program´s decision-marking.You will lead the design, implementation and oversight of disease or drug-specific Non-Interventional (NIS) / RWE studies, encompassing safety related studies, external control arm studies, and regulatory grade studies. Your work will involve inspiring cross-functional collaboration, in a unique partnership with other quantitative scientists while maintaining and expanding our external collaborations.Who you are:Preferably a background in health and life sciences (MD, pharmacist epidemiology, public health), or quantitative data sciences, biostatisticsDoctoral and/or master’s degree (e.g., PhD, MSc) in Epidemiology, Public Health or related fieldStrong experience in RWE/D within the pharmaceutical industry, particularly in the application of RWE in drug development for rare indicationsDemonstrable experience in leading RWE generation plans and studies end-to end, including application of innovative designs and methodsExcellent oral and written communication skills and demonstrated ability to engage and communicate scientific evidence to peers and at scientific meetingsCollaborative, proactive working style, with ability to work independently. Standort Merck KGaA, Darmstadt, Germany, Darmstadt