Research Associate​/Doctoral in Environmental Data Science and Epidemiology; m​/f​/d​/x

Organisation/Company Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH Research Field Medical sciences » Epidemiology Environmental science » Other Researcher Profile Recognised Researcher (R2) Positions Other Positions Final date to receive applications 30 Oct 2026 - 12:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 29,4 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Reference Number A26-26 Is the Job related to staff position within a Research Infrastructure? No

The Leibniz Institute for Prevention Research and Epidemiology – BIPS GmbH invites applications for a position to be filled (depending upon funding) within the Unit of Molecular Epidemiology in the Department of Epidemiological Methods and Etiological Research as a

Research Associate / Doctoral Candidate in Environmental Data Science and Epidemiology (m/f/d/x)
Salary Scale 13 TV-L, 29.4 hours/week (Part-time: 75%).
Starting from 1 December 2026 for the duration of 3 years (with the possibility of extension depending upon funding)

This interdisciplinary research position bridges environmental epidemiology, geostatistics and data science to develop best-practice data pipelines for environmental data in epidemiologic studies in order to investigate how environmental conditions and exposures influence human health.

The position is part of the collaborative BMFTR project “Data Nord” that aims at establishing an interdisciplinary data competence center for the Bremen region. In Data Nord, members of the U Bremen Research Alliance which is a cooperative network of the University of Bremen and thirteen non-university research institutes – work together with other regional institutions.

As part of the second phase ofthe Data Nord Research Academy, the “Healthy Planet” sub-project will investigate the association of environmental factors, socioeconomic factors and biodiversity with each other and their complex effects on health and health behavior. The project will combine high-resolution environmental exposure data provided by satellite and link them with individual level health-related data of children to examine (amongst others) to what extent children from socially vulnerable households face exposure to air pollution and heat and have access to green or blue spaces.

It will also assess environmental and biodiversity data with health indicators to explore how local ecosystems and human health interact.

The position entails a very close cross-departmental collaborations within BIPS, particularly between the Department of Epidemiological Methods and Etiological Research and the Department of Research Data Infrastructures and Data Science.

Tasks:

• Developing data pipelines for spatial data to enrich population-based cohort data with environmental exposures based on publicly available land use and remote sensing data.
• Preparing workflows, maintaining and enriching environmental datasets, and conducting required data science tasks.
• Contributing to statistical analysis of large-scale, longitudinal population-based cohort studies (e.g., the IDEFICS/
  I.Family cohort).
• Preparation of scientific manuscripts for international, peer-reviewed journals and presentation of research findings at scientific conferences.
• Support in the planning, coordination, and administrative management of ongoing and future research projects within the respective research areas.

Requirements:

• Master’s degree (or equivalent) in Environmental Sciences, Data Sciences, Biostatistics, Bioinformatics, Epidemiology, Public/Global Health, Geography, Computer Science, or a related quantitative discipline.
• Knowledge or…