Bioinformatics Scientist; f/m/x – Genome Sequencing

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Job Description

Position: Bioinformatics Scientist (f/m/x) – Whole Genome Sequencing
Location: Germany

Bioinformatics Scientist (f/m/x) – Whole Genome Sequencing

102837

Full time
39 hrs./week

Neuherberg near Munich

Partial Home Office possible

At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives.

The Institute of Epidemiology (EPI) investigates environmental, genetic, and lifestyle influences on human 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 sequencing (WGS) data analysis, supporting population-scale studies in human genetics, evolutionary biology, and biomedical research.

Develop 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
Innovate and optimize analytical tools and algorithms to address challenges in large-scale population genomics while staying current with advances in genome technologies and FAIR/open data practices
Provide bioinformatics support across ongoing research projects and contribute to training graduate students and postdoctoral researchers in computational genomics
Prepare figures, reports, and manuscripts, and present results at internal meetings, academic conferences, and consortium workshops
MSc (plus PhD preferred) in Bioinformatics, Computational Biology, or a related 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 complex computational workflows, with strong attention to detail
Strong communication and interpersonal skills, able to collaborate effectively with interdisciplinary teams
Motivation to contribute to scientific research and pursue an academic or scientific career path
Good command of written and spoken English

If you fulfill 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 until 31.03.2028 but may be extended under certain circumstances.

Managing Director Mike Frieser:

“We believe 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.”