Scientist Bioinformatic Analysis

Organisation/Company Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Final date to receive applications 31 Jan 2026 - 16:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

Area of research:

Scientific / postdoctoral posts

Job:Scientist for Bioinformatic Analysis (f/m/x)

102844

Full time
39 hrs./week

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

Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG)

at the University of Leipzig aims at uncovering the molecular underpinnings of metabolic, obesity and vascular disorders to enable precision therapies. HI-MAG is part of Helmholtz Munich. As one of the world’s leading research centers, Helmholtz Munich is a highly driven and stimulating international environment. 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.

• Provide bioinformatics and statistical support to researchers and clinicians across the institute
• Conduct statistical analyses, data interpretation, and visualization of clinical trial datasets
• Perform comprehensive bioinformatics and statistical analyses of high-dimensional omics datasets (spatial, single-cell, and bulk)
• Integrate and analyze multiple omics layers (e.g., genomics, transcriptomics, proteomics, epigenomics) to uncover biological mechanisms and identify clinical biomarkers
• Develop, maintain, and document analysis pipelines and software tools to ensure reproducible research
• Prepare data summaries, visualizations, presentations, and manuscript materials for scientific communication and publication

Your profile

• M.Sc. (plus PhD preferred) in a quantitative field such as Bioinformatics, Computational Biology, Statistics, Computer Science, or a related discipline
• Proven experience in analyzing and integrating multi-omics and single-cell data, ideally including work with clinical or patient-derived datasets and awareness of data protection standards
• Strong programming skills in Python and/or R, combined with familiarity with Linux/Unix, command-line tools, workflow management systems (e.g., Snakemake, Nextflow), and HPC or cloud environments
• Experience with data visualization, pipeline development, and—ideally—machine learning or AI applications in biomedical or omics contexts
• Excellent communication skills in English, particularly in clinical and biological settings, and the ability to work independently as well as collaboratively
• Self-motivated, well-organized mindset; experience with clinical data management systems (e.g., REDCap) or knowledge in obesity/metabolism research is a plus

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 of 2 years 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.“

Get to know us

• 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…