Post-doctoral researcher in computational genomics for predictive medicine

The newly established lab of Professor Jeffrey Barrett, jointly affiliated with the ELLIS Institute Finland, the Institute for Molecular Medicine Finland (FIMM) and the Faculty of Medicine at the University of Helsinki, recruits a postdoctoral researcher in computational genomics for predictive medicine. The lab analyses multiomic data to discover, understand and measure mechanistically meaningful molecular subtypes (endotypes) of complex human diseases, using national biobanks with matched biosamples and electronic health records, large genomic, proteomic, metabolomic and transcriptomic datasets, and machine-learning models that stratify disease risk, progression and treatment response.

The postdoc proposes hypotheses, writes code, interprets findings, designs projects that answer important questions in predictive medicine, mentors junior researchers and contributes to open science through preprints and open-source software. The team has access to biobank datasets covering about 2 million individuals (FinnGen, UK Biobank, All of Us, Estonian Biobank) and to local supercomputing and cloud resources. The fixed-term position lasts up to three years with a six-month trial period; the starting salary is typically about €3,800–4,000 per month.

Applications are due by 19 November 2026.

PhD in computational biology, data science, bioinformatics or a related discipline; a strong publication record; programming for data analysis in Python or R; research experience in computational biology and/or data science; excellent English. Apply with a one-page cover letter, a CV (with publications and GitHub link where applicable) and two references.