Postdoc - Department of Experimental Diabetology

DIfE - German Institute of Human Nutrition Potsdam-Rehbruecke; Nuthetal; On-site; EUR 55,000 - 75,000; Full time

Job summary

DIfE - German Institute of Human Nutrition Potsdam-Rehbruecke in Nuthetal, Germany, seeks a Computational Biologist/Bioinformatician for the Department of Experimental Diabetology. The candidate will perform end-to-end data analysis on multiome data, develop analyses, and collaborate with lab scientists to translate biology questions into computational work.

The role emphasizes handling transcriptomics, epigenomics, and related modalities, with English fluency and strong communication as

Qualifications

• Master and PhD in Computational Science or Bioinformatics.
• Strong background in genetics and epigenetics.
• Experience with multiome data analysis (lipidomics, proteomics, ATAC-seq).
• Proficiency in R or Python.
• Excellent communication and teamwork; fluent in English.

Responsibilities

• Perform end-to-end data analysis, including quality control and data integration.
• Analyze multiome datasets (transcriptomics, epigenomics, and related modalities).
• Apply advanced computational methods for integrative data analysis.
• Develop clear visualizations, reports and summaries of results.
• Collaborate with laboratory scientists to translate biological questions into analyses.

Skills

Computational biology

Bioinformatics

Interdisciplinary collaboration

English fluency

Education

Master and PhD in Computational Science/Bioinformatics

Tools

R

Python

ATAC-seq

Lipidomics

Proteomics

Job description

Postdoc - Department of Experimental Diabetology

DIfE - German Institute of Human Nutrition Potsdam-Rehbruecke

Nuthetal, Germany

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.

DIfE - German Institute of Human Nutrition Potsdam-Rehbruecke