Organisation/Company Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke Research Field Biological sciences » Nutritional sciences Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 15 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026_W10_E Is the Job related to staff position within a Research Infrastructure? No
1 Postdoc (m/f/d) in Causal Inference / Statistics
starting as soon as possible.
The Department of Computational Precision Nutrition develops methods and software for the analysis of both population-level and individual-level data, to enable personalized health recommendations based on dietary patterns, behaviors, and diet-associated biomarkers. We aim to contribute to the personalized prevention and treatment of chronic diseases and advance our understanding of the mechanisms underlying their development. One focus area of the department are digital N-of-1 trials.
We are seeking one highly motivated scientist with expertise in Causal Inference and Statisticsto join our team.
Tasks may include
- Develop and apply methodology for individual-level inference on the effect of health interventions
- Develop best practices and guidelines for causal inference in N-of-1 trials
- Develop and apply methodology to investigate treatment effect heterogeneity
- Collaborate with deep learning researchers to jointly develop methods for analyzing multimodal digital N-of-1 trials (patient reported outcomes, wearables, images, audio, omics data) linking causal inference and deep learning
- Implement the developed causal inference methodology for studies run on the StudyU platform with collaborators in Germany, Australia, USA, South Korea and Ghana
- Develop clear data visualizations, reports, and written summaries to communicate results – for scientific publications but also for study participants and patients
- Collaborate with clinicians, epidemiologists, software developers and laboratory scientists in the design of new studies and analysis of existing data
Skills and requirements
- Excellent master and doctoral degree with demonstrated expertise and publications in Causal Inference and Statistics
- Expertise in programming languages such as R or Python
- Experience with open-source software development
- Strong communication skills and ability to work in interdisciplinary teams
We offer
- Opportunity to develop your own research profile within an exciting research area
- A dynamic, international and interdisciplinary research environment as well as 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”)
- Supporting of mobility with a jobticket for using the public transport
- Location close to the vibrant city of Berlin, with easy accessibility by public transport or car
- 30 days of vacation
- Participation in the benefits program for employees („Corporate Benefits“)
The advertised position is available for initially 3 years.
Requirements
Research Field Biological sciences » Nutritional sciences Education Level Master Degree or equivalent
Skills/Qualifications
- Excellent master and doctoral degree with demonstrated expertise and publications in Causal Inference and Statistics
- Expertise in programming languages such as R or Python
- Experience with open-source software development
- Strong communication skills and ability to work in interdisciplinary teams
Additional Information
- Opportunity to develop your own research profile within an exciting research area
- A dynamic, international and interdisciplinary research environment as well as 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”)
- Supporting of mobility with a jobticket for using the public transport
- Location close to the vibrant city of Berlin, with easy accessibility by public transport or car
- 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!
Number of offers available 1 Company/Institute German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) Country Germany State/Province Brandenburg City Nuthetal Postal Code 14558 Street Arthur-Scheunert-Allee 114-116 Geofield
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1 Postdoc (m/f/d) in Causal Inference / Statistics Arbeitgeber: Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
Das Deutsche Institut für Ernährungsforschung Potsdam-Rehbrücke bietet als Arbeitgeber eine spannende und abwechslungsreiche Tätigkeit in einer innovativen Forschungsumgebung. Mit einem engagierten Team, familienfreundlichen Arbeitsbedingungen und gezielten Fort- und Weiterbildungsmöglichkeiten fördert das Institut die persönliche und berufliche Entwicklung seiner Mitarbeitenden. Zudem profitieren Sie von einer guten Erreichbarkeit, attraktiven Vergütungsmodellen und einem umfassenden Vorteilsprogramm.
Kontaktdaten:
Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke Recruiting-Team
