PhD (Doctoral) position - Data Sciences for Molecular Systems Biology & Bioinformatics

Organisation/Company University of Konstanz Department Department of Biology Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 Feb 2026 - 12:00 (Europe/Berlin) Country Germany Type of Contract Not Applicable Job Status Not Applicable 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

Offer Description

The start date is as early as possible / April 1st, 2026 (or by agreement) .

You will conduct your research in a lively and academically outstanding research environment. The position is part of a collaborative research centre at the University of Konstanz, which is among the most highly ranked institutions in Germany.

This position is an exciting opportunity for you if you wish to become an expert in data sciences and molecular cell biology by conducting cutting-edge research on the molecular mechanisms underlying cellular trigger responses in normal and diseased cellular states. The position is available within the Systems Biology & Biomedical Data Science Laboratory, which has a strong focus on developing and applying leading-edge data science approaches to study gene regulation in health and disease. Please find further information on the web site of the Gruber research group (please find further information at ).
You will be developing machine learning-based data science approaches for the analysis of Next Generation Sequencing (NGS) data from wet laboratory experiments and from the clinics. Using a holistic computational framework, you will study known and potentially so far unknown regulators that mediate the cellular response to specific triggers, such as TGFB1-mediated epithelial-to-mesenchymal transition, a process that plays a key role in the formation of cancer metastases. Long term, this project aims to expand its analysis capabilities from human to additional model organisms to make the analysis approaches available to the broader scientific community. If you have some experience in programming and/or analyzing data and you wish to conduct a doctoral thesis with a focus on data sciences and molecular cell biology in a systems biology & biomedical data science laboratory, we are looking very much forward to your application!

Your Responsibilities

• Develop and apply data science tools and approaches
• Implement Next Generation Sequencing data analysis workflows
• Analyze data from Next Generation Sequencing experiments
• Design and implement web-based user interfaces for result reporting
• Interpret analysis results and contribute to publications and presentations of the research group
• Passion to analyse large biological datasets using cutting-edge approaches
• Being able to work independently and as part of a team as well as with research collaborators ( in English language)
• Some experience in programming and/or analysing data (e.g. Bash, R, Python)

We offer

• Excellent development opportunities, extensive training and an attractive remuneration package
• An exciting interdisciplinary and international working environment
• A project setting that will allow you to develop strong data science skills, while gaining significant expertise in molecular cell biology
• The opportunity to obtain a PhD degree from a high ranked German University
• The bioinformatics position is funded according to TV-L E13 75%

Applications should contain the following documents:

• Cover letter with the indication of the projects you would like to apply for (max. 1 page)
• Contact details for two academic references, who agree to be contacted during the selection process
• (optional) two additional CRC 1756 projects you might be interested in (please find all details here )
• Copy of your bachelor's and master's degree certificates (or equivalent) incl. transcripts of records (if you obtained it already)

Please send your application documents (as ONE SINGLE PDF file) until February 11th, 2026 via Email to BOTH email addresses: