|
Institution: Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki OverviewThe Institute for Molecular Medicine Finland (FIMM), part of the Helsinki Institute of Life Science (HiLIFE) at the University of Helsinki, in partnership with EMBL, invites applications for FIMM–EMBL Group Leader positions in Data Science and Artificial Intelligence for Molecular and Health Data. We seek outstanding early-stage group leaders with strong international experience who will establish independent research programmes at FIMM and advance cutting-edge statistical, machine learning, and AI methods in molecular medicine and population health. Research Focus AreasWe welcome candidates working at the interface of:
Applicants may focus on either methodological innovation or transformative application of advanced methods. 1. Methods DevelopmentDesigning novel statistical, ML, or AI methodologies for biomedical data, including but not limited to:
2. Innovative ApplicationsApplying state-of-the-art analytical methods to:
About FIMMFIMM is a leading international molecular medicine research institute with approximately 300 researchers and scientific staff from over 30 nationalities. The institute focuses on human genomics, precision medicine, AI, and data science in health, with a strong emphasis on translational research. FIMM hosts globally unique resources, including:
FIMM is part of the Nordic EMBL Partnership for Molecular Medicine and the EU-LIFE Community, offering strong international integration. Candidate ProfileSuccessful candidates will:
The position is intended for early-stage independent researchers, typically at a career level comparable to ERC Starting Grant eligibility. What We Offer
Application ProcessApplications must be submitted online via the University of Helsinki recruitment system by 15 March 2026. Required application materials (PDF):
Selection process: Further Information
Equality, Diversity and InclusionThe University of Helsinki and FIMM are committed to equity, diversity, and inclusion and encourage applications from all qualified candidates, regardless of background.
|














