Scientist for Bioinformatic Analysis (f/m/x)

102844

Full time
39 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.

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

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, feel free to contact Anne Hoffmann, [email protected], 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
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.

Learn more about diversity at Helmholtz Munich

Our commitment

Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Helmholtz Institute for Metabolic, Obesity and Vascular Research
Philipp-Rosenthal-Straße 27
04103 Leipzig