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 nutrition and health to understand the molecular basis of nutrition-dependent diseases and develop new strategies for treatment and prevention. The DIfE partners with the German Center for Diabetes Research (DZD).

The Department of Computational Precision Nutrition develops methods and software for analyzing population-level and individual-level data, enabling personalized health recommendations based on dietary patterns, behaviors, and diet-associated biomarkers. We aim to contribute to prevention and treatment of chronic diseases and advance understanding of their mechanisms. Two methodological focus areas are digital N‑of‑1 trials and deep learning-based modeling of multimodal biomedical data.

We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics to join our team.

Tasks may include:

Develop methods to analyze multimodal digital N‑of‑1 trials (patient reported outcomes, wearables, images, audio) linking causal inference and deep learning
Develop methodology for individual-level inference of large epidemiological studies (e.g., EPIC Potsdam study, German National Cohort study) including omics data
Contribute to software development of the StudyU platform for digital N‑of‑1 trials
Perform end-to-end data analysis, including quality control, data integration, and inference of omics data (e.g., transcriptomics, epigenomics, metabolomics)
Develop clear data visualizations, reports, and written summaries to communicate results – for scientific publications as well as for study participants and patients
Collaborate with clinicians, epidemiologists and laboratory scientists in the design of new studies and analysis of existing data

Requirements and Skills:

Excellent master and doctoral degree with demonstrated expertise in at least one of the following areas: Causal Inference, Statistics, Deep Learning, Bioinformatics
Expertise with deep learning frameworks
Expertise in programming languages such as R or Python
Experience with advanced deep learning frameworks and open‑source software development
Strong communication skills and ability to work in interdisciplinary teams

We offer:

A dynamic, international and interdisciplinary research environment with excellent working conditions and outstanding technical equipment
Employment with remuneration according to TV‑L, level 13, plus annual special payment and company pension scheme
Family‑friendly working conditions (certificate “audit berufundfamilie”) and support of mobility with a jobticket for public transport
Location close to the vibrant city of Berlin, easily accessible by public transport or car
30 days of vacation
Participation in the benefits program for employees (“Corporate Benefits”)

The advertised positions are available initially for 3 years.

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.

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Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DIFE)