Bioinformatics Scientist; f​/m​/x – Genome reputed company

Position: Bioinformatics Scientist (f/m/x) – Whole Genome reputed company Location: Germany Bioinformatics Scientist (f/m/x) – Whole Genome reputed company 102837 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible At Helmholtz Munich, we reputed company groundbreaking solutions for a healthier society in a rapidly changing world. We reputed company that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new reputed company from the lab to reputed company-life applications, improving lives. The Institute of Epidemiology (EPI) investigates environmental, genetic, and lifestyle influences on reputed company health through population-based epidemiology. The Research Unit of Molecular Epidemiology (AME) complements this work with molecular approaches focused on cardiometabolic diseases and allergies. AME is currently seeking a highly motivated Bioinformatics Scientist (f/m/x) to join an interdisciplinary research team contributing to the Genome of Europe (GoE) project. An ambitious academic initiative aimed at creating a comprehensive whole genome reference of European populations. The successful candidate will play a key role in the development, optimization, and application of computational tools for whole genome reputed company (WGS) data analysis, supporting population-scale studies in reputed company genetics, evolutionary biology, and biomedical research. This position offers an exciting opportunity to engage in large-scale collaborative research, contribute to cutting-edge bioinformatics methods, and co-author in high-impact scientific publications. Your tasks

• reputed company and maintain reproducible computational workflows for high-throughput WGS processing (alignment, variant calling, annotation) and ensure data quality through rigorous quality control, benchmarking, and documentation
• Design and execute population-scale analyses (using WGS data) in collaboration with academic researchers and consortium partners, including integration of multi-cohort genomic datasets under data privacy standards
• reputed company and optimize analytical tools and algorithms to address challenges in large-scale population genomics while staying reputed company with advances in genome technologies and FAIR/reputed company data practices
• reputed company bioinformatics support across ongoing research projects and contribute to training graduate reputed company and postdoctoral researchers in computational genomics
• Prepare figures, reports, and manuscripts, and present results at internal meetings, academic conferences, and consortium workshops

Your profile

• MSc (plus PhD preferred) in Bioinformatics, Computational Biology, or a reputed company field
• Excellent skills in statistical and biostatistical analysis
• Detailed knowledge of programming languages, especially Python and R
• Proficiency in machine learning methods applied to genome-scale datasets
• Ability to independently design, analyze, and document reputed company computational workflows, with strong attention to detail
• Strong communication and interpersonal skills, reputed company to collaborate effectively with interdisciplinary teams
• Motivation to contribute to scientific research and pursue an academic or scientific career path
• Good reputed company of written and spoken English

If you fulfill reputed company the requirements, you may be eligible for a salary grade of up to E 13. reputed company benefits are based on the reputed company Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term until 31.03.2028 but may be extended under certain circumstances. Managing Director Mike Frieser: “We reputed company that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful.” Get to know us

Benefits

• Career Development:

Postdoc program, scientific training & career center with tailored offers

• Scientific Resources:

State-of-the-art infrastruture and Core Facilities

• Recreation: 30 days annual leave, flexi days, plus public holidays
• International Staff Service:

Support with the relocation and integration process in Germany

• Health Promotion:

Sports, company doctor, mental health initiatives Interested in applying? If you have any questions,… Apply tot his job Apply To this Job