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Speculative application  Skills: Acne, Actinic Keratosis, Acute Myelogenous Leukemia (AML), AIDS, Allergic Rhinitis, Allergy, Alzheimer's, Anaesthetics, Antibiotics, Anti-infectives, Anxiety, arrhythmia, Asthma, Autoimmune diseases, Autoimmune Disorder, Bacterial Vaginosis, Breast Cancer, Cardiology, Cardiovascular, chemotherapy, Chronic Lymphocytic Leukaemia, Chronic Myeloid Leukemia, Chronic Obstructive Pulmonary Disease, Clinical Pathology, CLL, Congestive Heart Failure, COPD, Cosmetics, Cystic Fibrosis, Dementia, Dentistry, Depression, Dermatology, Diabetes, Diagnostics, Dietetics, Endocrine, Endocrinology, Epilepsy, Family Medicine, Fibromyalgia, Gastroenterology, gastrointestinal, Genetic Diseases, GI, Glioblastoma Multiforme (GBM), Gynaecologic, Gynaecology, Gynecology, Haematology, Haemophilia, Heart Disease, Hematology, Hemopure Anemia, Hepatitis, Hepatology, HIV, Hodgkin's disease, Hypertension, IBD, Immunogenicity, Immunopharmacology, Infections, Infectious Diseases, 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SOX, SPC- CCDS, Spectroscopy, S-Plus, SPSS, SQL, Start-up activities, statistical analysis, Statistics, Study Management, Study Medication Labelling, Sunshine Act, Supplier Qualification, Supply Chain Distribution, Supply Chain Management, Supply Chain Planning, Supply Planning, SUSAR, SUSARs, TMF, Toxicogenomics, Toxicology, Trackwise, Training, Transport Management, Unicorn Purification System, UPLC, Upstream, UV-Vis Spectroscopy, validation, Veeva, Vendor Management, Venipuncture, VISIO, Western Blot, ZINC, Bratislava, Slovakia, Afrikaans, Argentinian, Armenian, Belgian, Bosnian, Bulgarian, Cambodia, Cantonese, Catalonian, Chinese, Croatian, Czech, Danish, Dutch, English, Flemish, French, Greek, Gujarati, Hebrew, Hungarian, Italian, Japanese, Korean, Latvian, Lithuanian, Luxembourgish, Macedonian, Malayalam, Mandarin, Montenegrin, Norwegian, Persian, Punjabi, Romanian, Russian, Serbian, Slovak, Slovene, Slovenian, Spanish, Swedish, Thai, Turkish, UkrainianLocation: GloballyShare: 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Scientist - Computational Biology [m/f/d]
Resolve BioSciences GmbH, Monheim am Rhein, Nordrhein-Westfalen
Your missionWith immediate effect, we are looking to hire a passionate Scientist – Computational Biology [f/m/d] into our Molecular Biology team. By closely working with biologists and biomedical experts, you will be responsible for computational downstream analysis of high-dimensional spatial single cell data with a strong focus on immuno-oncology.This is a full-time role, based in the company office in Monheim am Rhein, Germany, where you will be working in close interaction with the Molecular Biology and the Data Science team. It comes with the opportunity to work with other company sites around the world.Responsibilities: Work closely within teams to apply software tools and pipelines for computational downstream analysis of molecular cartography spatial multi-omic datasets.Draw biological conclusions from high-dimensional single cell data (imaging and sequencing-based), e.g., by analyzing cell types, differential expression, cellular neighborhoods, and cell-cell communication.Evaluation of technical influence on data analysis (e.g., cell segmentation)Work with internal and external oncology experts to design and evaluate panels.Collect requirements from team members and other project teams.Train and support internal users of data analysis tools and pipelines.Work effectively with internal developers and external partners in achieving shared project goals and timelines.Responsible for personal work planning against agreed-upon objectives.Your profilePhD in biology, bioinformatics or similar with 3+ years of experienceExtensive experience in the analysis of high-dimensional single cell data (e.g., scRNA-seq) using state-of-the art packages such as Seurat, Scanpy and custom scripts.Experience in computational downstream analysis of oncology and/or systems immunology data is desired.Proficiency in R is required, knowledge of Python is desired.Experience with fluorescence microscopy, image analysis and respective software packages is beneficial.Experience in using workflow tools such as Snakemake or Nextflow is beneficial.Experience with experimental design / study design for harmonized analysis of multi-experiment, multi-variable studies with large numbers of samples is a plus.Excellent organizational and prioritization skills with a strong attention to scientific detail.Structured, team-oriented, common goal mindset, excellent communication skills.Willingness to travel internationally if the need should arise.Personal CharacteristicsAt Resolve Biosciences, we believe that diversity, equity, and inclusion are essential to our success. We welcome applicants of all genders, ethnicities, nationalities, religions, abilities, and backgrounds to apply for our open positions. We are committed to creating a workplace where everyone feels valued, respected, and supported.Why us?​This is the perfect opportunity for a successful candidate to become a part of a highly motivated, agile, and international team in an attractive work environment with excellent career opportunities and flat hierarchies. You will contribute to develop our cutting-edge technology with the clear goal to offer products worldwide, and you will influence both our products and clients. We provide space for creativity and flexible working hours and look forward for new members to join us on an exciting journey into a new field of biotechnology. Still in the start-up phase, we wish to collaborate and grow together with forward-minded people.About usThe Molecular Cartography Company We are bringing the latest advances in German precision engineering to the biotechnology field. Together, with our talented team of scientists, commercial experts and investors, we are poised to lead the next generation of single-cell analysis which will enable scientists around the world to apply the power of Molecular Cartography and gain new insights based on the highest-resolution view of single-cell spatial biology. Resolve Biosciences is a privately held company headquartered in Monheim am Rhein, Germany with an expanding global footprint, that includes facilities in San José, California, USA.Our Molecular Cartography platform has been well received by scientists through an early access program since 2016. We are now entering into an exciting phase of rapid growth and commercialization.Über das Unternehmen:Resolve BioSciences GmbH
Postdoc in Molecular Epidemiology/ Data Science (f/m/x)
Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Leipzig
Postdoc in Molecular Epidemiology/ Data Science (f/m/x)102339 Full time 39 h/week LeipzigWe are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions for better health.Our research is focused within the areas of metabolic health/diabetes, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development.Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate the transfer of our research, so that laboratory ideas can reach society and improve people’s quality of life at the fastest rate possible.This is what drives us. Why not join us and make a difference? As one of the world’s leading research centers, Helmholtz Munich provides a stimulating international environment for excellent research. The Helmholtz Institute for Metabolic, Obesity and Vascular Research ( HI-MAG )at the University of Leipzig , Germany is part of Helmholtz Munich and aims to uncover the molecular and clinical underpinnings of metabolic, obesity and vascular disorders to enable precision therapies. Together with renowned scientists and supported by state-of-the-art infrastructure, you will have the opportunity to make important contributions towards scientific knowledge and the improvement of people’s quality of life. Our international and dynamic interdisciplinary team is closely integrated with the research structures of the Medical Faculty (https://www.uniklinikum-leipzig.de/en/science-research) of the University of Leipzig, Helmholtz Munich (https://www.helmholtz-munich.de/en) , and leading local as well as national research consortia, such as the Collaborative Research Consortium SFB „ObesityMechanisms“ (https://www.sfb1052.de/) , the future German Center for Child and Youth Health (DZKJ) (https://dzkj.org/) , and our large children’s and adolescent’s cohort LIFE Child (http://www.dzkj.org/) . We have large, well-characterized cohorts up and running with a longitudinal setting: LIFE Child (n~5000) + Leipzig Obesity Childhood Cohort (n~3000) complemented by the Leipzig Adipose Tissue Childhood cohort (n~500), with deep phenotyping allowing for combining clinical, epidemiological, lifestyle and functional omics data.Leipzig is a lively and attractive University City of 630,000 people with a rich cultural and musical history, numerous parks within the city and several lakes at cycling distance. Leipzig has been rated amongst the 100 most livable cities twice in the New York Times rating.Prof. Matthias Tschöp (Dr. Med., Dr. hc.),CEO of Helmholtz Munich:"We believe that excellent research requires a range of different perspectives. Diverse teams reach better solutions and are more innovative in their research topics.Establishing our Diversity Management Strategy demonstrates our commitment to ensuring an appreciative company culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization."Your tasksModelling the risk for complex disease derived from the interaction of genetic predisposition and environmental factors acting in childhood through longitudinal and cross-sectional analyses in large cohort studiesDeveloping risk scores and prediction modelling, including genetic predisposition and consideration of developmental patternsIdentification of molecular targets for genetic predisposition to obesity and related cardiometabolic disorders in childhood using integrative omics approaches combining functional and computational genomics dataMultiomics analyses: genome, transcriptome, methylome in both blood and adipose tissueCommonalities of gene environment interactions in the origin of common diseases in childhoodLarge scale epidemiological analyses (incl. meta-analyses, trajectories, cluster analyses)Your profileA master degree in bioinformatics, systems biology, biomedicine, nutritional science, physiology, computer science, mathematics OR epidemiology OR any life science degree with a strong interest in data sciencesMD, PhD or experienced PhD student with interest/experience in the fields as outlined aboveSound knowledge of statistics in the context of biological systems (love numbers, stats and models) and basics of epidemiological statisticsExperience with large-scale multi-omics approaches is an advantageGood understanding of the biomedical background and experience with cohort studies is highly recommendedFlexibility, innovative thinking and preparedness to enter new avenues, ideas, questions, creativity and ability to drive and pursue research projectsEnthusiasm and a high level of motivation for scientific work and reproducible researchBenefitsCareer DevelopmentPostdoc program, scientific training & career center with tailored offersRecreation30 days annual leave, flexi days, plus public holidaysInternational Staff ServiceSupport with the relocation and integration process in GermanyHealth PromotionSports, company doctor, mental health initiativesIf you fulfil all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term of 2 years but may be extended under certain circumstances. We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree. Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible. (https://www.helmholtz-munich.de/en/career/is-your-foreign-university-degree-recognised-in-germany)Interested in applying?If you have any questions, feel free to contact Antje Körner, [email protected], who will be happy to help.