Postdoctoral Researcher (mfd) Epidemiology Data Science

Clinic for Hematology an Oncology

The UKSH Lübeck Campus and the University of Lübeck are looking for a postdoctoral researcher for the new PROSURV research consortium funded by the BMFTR. The aim of the consortium is to identify molecular and clinical factors that predict long-term and late effects in colorectal cancer patients in order to improve personalized treatment and aftercare concepts.

The advertised position is part of subproject 3 which investigates how treatment-related factors are associated with long-term toxicities and what differences exist according to age gender tumor stage and tumor location. High-quality clinical molecular and epidemiological data will be used for this purpose.

The position is based in Prof. Bruno Köhlers research group and involves close collaboration with an interdisciplinary team from epidemiology oncology molecular pathology AI research and patient advocacy groups.

Start in our team

Do you want to make an impact on the lives of patients with colorectal cancer in Germany Join us in a new endeavor investigating long-term and late toxicities of treatments to inform individualized care approaches. Join our team and support us as soon as possible. The position is initially limited until November 30 2028.

What we offer:

• The salary will be based on the German E13 TV-L scale (100%) if terms and conditions under collective bargaining law are fulfilled
• Full-time employment currently 38.5 hours/week; Part-time employment is possible within the framework of certain working time models
• A consortium with leading scientists in the fields of epidemiology clinical oncology pathology and artificial intelligence
• Participation in a national multi-center consortium with strong translational relevance
• Opportunities for methodological training career development and conference travel

Your tasks:

• Lead quantitative analyses linking treatment exposures with long-term outcomes in colorectal cancer survivors
• Manage and curate complex clinical and epidemiologic datasets
• Develop and apply advanced statistical and data-science methods
• Contribute to collaborative projects across consortium partners
• Prepare manuscripts conference presentations and contributions to consortium reports as well as support junior researchers and engage in team-based scientific exchange

Your profile:

• PhD in Epidemiology Public Health (Bio-)Statistics Data Science or a related quantitative field
• Strong experience in handling large datasets data management and statistical modeling (e.g. R Python Stata)
• Proven ability for independent scientific work and critical thinking as well as team-oriented mindset and strong communication skills
• A keen interest in cancer research; basic knowledge of cancer biology is an asset
• Excellent command of English; German language skills are beneficial but not mandatory

Please submit your application until 01.01.2026indicating the reference number27555.