DEIN NÄCHSTER SCHRITT
1 PostDoc (m/f/d)
Wissenschaftliche/r Mitarbeiter/in
Arbeit
Vollzeit
ab 01.01.2027
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Beschreibung
The [**German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE)**](https://www.dife.de/en) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical ...
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Arbeitgeber: Deutsches Institut für Ernährungsforschung Stiftung des öffentl.Rechts
The [**German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE)**](https://www.dife.de/en) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in the field of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention.The [**Department of Experimental Diabetology (DIAB)**](https://www.dife.de/en/research/departments-and-labs/experimental-diabetology/) and the [**Junior Research Group Epigenetics of Obesity and Diabetes (EOD)**](https://www.dife.de/en/research/departments-and-labs/epigenetics-of-obesity-and-diabetes/) invite applications for
## 1 Postdoc (m/f/d)
starting **January 1, 2027**.
We are looking for a highly motivated **Computational Biologist/Bioinformatician** to join our teams, which focus on understanding how obesity and type 2 diabetes reshape the epigenome, with the goal of identifying disease-associated genes and epigenetic alterations. Using lean and obese mouse models and translational validation in humans, we investigate how interventions such as intermittent fasting, endurance training, and bariatric surgery can modulate disease-induced molecular changes.
### Tasks
- Perform end-to-end data analysis, including quality control, data integration and inference of regulatory networks
- Analyze and interpret multiome datasets (e. g. transcriptomics, epigenomics and related modalities)
- Apply advanced computational and statistical methods for integrative analysis of multi-layer biological data
- Develop clear data visualizations, reports and written summaries to communicate results
- Collaborate closely with laboratory scientists to translate biological questions into computational analyses
### Skills and requirements
- Excellent master and doctoral degree in Computational Science/Bioinformatics
- Strong background in biological fundamentals, including genetics and epigenetics
- Experience with multiome data analysis (e. g. Lipidomics, Proteomics, ATAC-seq)
- Expertise in programming languages such as R or Python
- Proven experience with advanced computational methods for data integration and interpretation
- Strong communication skills and ability to work in interdisciplinary teams
- Fluency in spoken and written English
### We offer
- Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment
- Remuneration according to TV-L, level 13, plus annual special payment and company pension scheme
- Family-friendly working conditions (certificate “audit berufundfamilie”)
- Supporting of mobility with a jobticket for using the public transport
- Easy accessibility by public transport or car (including free parking)
- 30 days of vacation
- Participation in the benefits program for employees („Corporate Benefits“)
The position is available for 1 year.
We promote the employment of people with severe disabilities and are committed to equal opportunities for them. Applicants with severe disabilities will be given preferential consideration if they have the same qualifications.
### We look forward to your application!
Please send your documents (cover letter explaining your motivation, CV, copies of degrees/certificates and references) with **reference number 2026\_W12\_BA** as a **single pdf-file** before **November 8, 2026** via e-mail to **jobs@dife.de**.
*For further information please do not hesitate to contact:*
**PD Dr. Heike Vogel**
Deputy Head of the Department Experimental Diabetology
E-Mail: heikevogel@dife.de
We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6 para. 1 lit. b) GDPR, Art. 88 GDPR. For more information on the collection, processing and use of personal data by the German Institute of Human Nutrition as part of the application process and your rights under data protection law, please contact the Department of Human Resources and Social Services (jobs@dife.de).
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Ref-Nr.: 14024240
Aktualisiert:
20.10.2026
Quelle: Bundesagentur für Arbeit
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weitere Infos Rechtliche Hinweise zur Nutzung
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