Scientist for Bioinformatic Analysis (f/m/x)
Full time39 hrs./week
Leipzig
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.
Your tasks
- 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.
„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.“
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?
- CV
- Cover letter
- Degrees/Diplomas/Certificates
- Contact details for at least two referees
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.
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.
Our commitment
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Helmholtz Institute for Metabolic, Obesity and Vascular Research
Philipp-Rosenthal-Straße 27
04103 Leipzig
