1 Postdoc (m/f/d) / Department of Experimental Diabetology

Description

Offer Description: The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) 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) and the Junior Research Group Epigenetics of Obesity and Diabetes (EOD) 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 The position is available for 1 year. Requirements: Research Field Computer science Education Level Master Degree or equivalent Research Field Computer science Education Level PhD or equivalent Skills/Qualifications 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 Languages ENGLISH Level Excellent Research Field Computer science Years of Research Experience 1 - 4 Additional Information: Benefits 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“) Eligibility criteria 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. Selection process 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_E as a single pdf-file before November 8, 2026 via e-mail to [email protected] . For further information please do not hesitate to contact: PD Dr. Heike Vogel Deputy Head of the Department Experimental Diabetology E-Mail: [email protected] 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 pr

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Source

Source: euraxess.ec.europa.eu