Publisher
source

Marvin N. Wright

Just Landed

New Today

Statistician (Postdoc or PhD candidate) Leibniz Institute for Prevention Research and Epidemiology - BIPS in Germany

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Salary scale E13 TV-L, 39.2 hours/week (100% position); duration 3 years with possible extension.

Deadline

Nov 15, 2026

Country flag

Country

Germany

University

Leibniz Institute for Prevention Research and Epidemiology - BIPS

Apply for this position

Keywords

Computer Science
Epidemiology
Biostatistics
Biology
Mathematics
Causal Inference
Salud Pública
Software Development
Statistics
ML

Suggested positions

Publisher
source

Marvin N. Wright

Leibniz Institute for Prevention Research and Epidemiology - BIPS

Country flag

Germany

The Leibniz Institute for Prevention Research and Epidemiology – BIPS GmbH in Bremen, Germany, is recruiting several Statistician (Postdoc or PhD candidate) positions for work in methodological and applied health research. The positions are embedded in the institute’s broader prevention research programme, with strong links to large epidemiological cohort studies, the NAKO Health Study, and secondary health insurance data. Research will be organized around one of five methodological themes: Caus...

Computer Science
Epidemiology
Biostatistics
+8 more

3 weeks ago

Publisher
source

University of Pennsylvania

Country flag

United States

PhD opportunity in Epidemiology and Biostatistics at the University of Pennsylvania (Perelman School of Medicine), within the Epidemiology and Biostatistics Graduate Group (GGEB) and Biomedical Graduate Studies (BGS). This is a fully funded PhD position with a $49,000/year stipend , plus tuition, fees, health insurance, and a $1,000 relocation award . The program is designed to train rigorous, independent investigators who apply biostatistical and epidemiological methods to biomedical research q...

Epidemiology
Biostatistics
Biology
+4 more

2 months ago

Publisher
source

University of Oxford

Country flag

United Kingdom

University of Oxford’s Botnar Research Centre is advertising a PhD/DPhil project in clinical epidemiology and medical statistics focused on emulating and extending randomised controlled trials (RCTs) using routinely collected real-world medical record data from Europe. The project explores the benchmark – expand – calibrate approach for causal inference across different data types, including electronic health records from the UK and other European countries, and across multiple study types such ...

Computer Science
Data Science
Epidemiology
+10 more

2 months ago

Publisher
source

Yale University

Country flag

United States

Yale University is advertising a Postdoctoral Associate in Gerontologic Biostatistics in the Department of Internal Medicine, Section of Geriatrics, and the Department of Biostatistics at the Yale School of Public Health. The position is mentored by Dr. Heather Allore and Dr. Fan Li , with additional mentorship from collaborators at Brown University and NYU School of Medicine. The research focuses on biostatistics , causal inference , machine learning , pragmatic trials , and methods for studyin...

Computer Science
Biostatistics
Biology
+7 more

2 weeks ago

Publisher
source

University of Oxford

Country flag

United Kingdom

PhD opportunity at the University of Oxford in Agentic AI for Analytical Code Development to Support Regulatory Real-World Evidence Generation (Botnar-2026-04). This DPhil in Clinical Epidemiology and Medical Statistics is a 3.5-year project based at the Botnar Research Centre , University of Oxford, focused on using agentic artificial intelligence and large language models to translate study protocols into reproducible analytical code for real-world evidence studies. The project sits at the int...

Computer Science
Epidemiology
Biostatistics
+7 more

2 months ago

About this position

Leibniz Institute for Prevention Research and Epidemiology (BIPS) in Bremen is seeking several statisticians to contribute to cross-departmental research in large epidemiological cohort studies and related health-data projects.

The advertised positions sit within BIPS’s broader prevention research agenda, with a strong emphasis on methodological and implementation research. The institute conducts its own cohort studies, participates in the NAKO Health Study, and uses secondary data from health insurance sources to address important questions in population health.

Successful candidates will join research that focuses on one or more of five methodological themes: causal inference, machine learning, statistical analysis of cohort data, modelling of health behaviours and complex exposures, and statistical analysis of health insurance data. The work involves developing new statistical methods and applying them to real health data, contributing to joint international projects, publishing and presenting results, and developing software packages.

The role also includes supervision support for students: co-supervision of bachelor and master students is expected, and postdocs will also co-supervise PhD students. For postdoctoral researchers, the position offers the chance to pursue scientific independence and to build an independent research profile within BIPS’s supportive and collaborative environment.

BIPS describes a strong research setting with good infrastructure, close ties to the University of Bremen, and an international atmosphere. The institute highlights its focus on chronic disease prevention, lifestyle and environmental factors, biological and social determinants, early disease detection, and drug safety, offering a setting that combines methodological development with applied health research.

The advertised contact person is Prof. Dr. Marvin N. Wright.

Funding details

Salary scale E13 TV-L, 39.2 hours/week (100% position); duration 3 years with possible extension.

What's required

Master’s or PhD degree (or equivalent) in (bio-)statistics, (bio-)mathematics, data science, computer science or a related discipline. Applicants should have a solid background in statistics, programming skills in R, Python or SAS (knowledge of C++ or Java is beneficial), good spoken and written English, strong interest in interdisciplinary research, and initiative, motivation, commitment, and scientific curiosity.

How to apply

Send an application in English or German by e-mail as a single PDF file. Include a cover letter, CV and certificates, quote reference number A26-25, and mention one topic code (CI, ML, SC, HB, SH).

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Prof. Dr. at Leibniz Institute for Prevention Research and Epidemiology - BIPS

University Name
Country flag

Germany

Research Interests

Biostatistics

Software Development

Mathematics

Computer Science

Salud Pública