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

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

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

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

Helmholtz Zentrum München

Forschung

Oberschleißheim

  • Art der Beschäftigung: Vollzeit
  • 53.000 € – 72.000 € (von XING geschätzt)
  • Hybrid
  • Aktiv auf der Suche

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

Über diesen Job

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

102837

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.

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

  • 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

Your profile

  • 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."

International Staff Service

Support with the relocation and integration process in Germany

Career Development

Postdoc program, scientific training & career center with tailored offers

Recreation

30 days annual leave, flexi days, plus public holidays
Sports, company doctor, mental health initiatives
  • 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, feel free to contact Sapna Sharma, sapna.sharma@helmholtz-munich.de, who will be happy to help.
Our recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future.
More information about our application process

Please send your application only via our online application tool and with the following documents:
  • CV
  • CV
  • Cover letter
  • Contact details for at least two referees
  • Degrees/Diplomas/Certificates
  • References from recent employers

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.



Institute of Epidemiology

Gehalts-Prognose

Unternehmens-Details

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Helmholtz Zentrum München

Forschung

1.001-5.000 Mitarbeitende

Oberschleißheim, Deutschland

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