Jeffrey Barrett

The Barrett Lab at the University of Helsinki is recruiting a post-doctoral researcher to work in computational genomics for predictive medicine. The project sits at the intersection of genomics, multiomics, and AI-enabled biomedical research, with a focus on discovering, understanding, and measuring mechanistically meaningful subtypes of complex human diseases. The research vision is to move beyond classifying disease by clinical phenotype alone and instead identify molecular and biological endotypes that can better explain disease risk, progression, and treatment response. The lab highlights the growing power of national biobanks, large-scale matched biosamples, detailed electronic health records, and expanding multiomic datasets, together with new machine learning methods, as the foundation for this work. The postdoc will join a newly established laboratory led by Professor Jeffrey Barrett and will work closely with a team embedded in a strong interdisciplinary environment. The lab is jointly affiliated with the ELLIS Institute Finland, the Institute for Molecular Medicine Finland (FIMM), and the Faculty of Medicine at the University of Helsinki, offering connections to both genomics and molecular medicine as well as fundamental applied AI. The role is research-intensive and includes proposing hypotheses, writing code, analyzing and interpreting results, designing projects, and communicating findings through publications and conference presentations. The position also emphasizes open science and collaboration, including work with other researchers at the University of Helsinki, ELLIS, and international partners, alongside mentoring and training activities. Research resources mentioned for the group include access to large biobank datasets such as FinnGen, UK Biobank, All of Us, and the Estonian Biobank, as well as local supercomputer facilities and cloud computing resources. The lab also generates new omics data from samples in the Finnish biobank network, supporting projects that connect human genetics and disease biology with predictive modeling. The position offers the opportunity to be among the first members of a new laboratory environment with active participation in two major research communities: FIMM and the ELLIS Institute. The advert presents a setting that combines human genomics, personalized medicine, and applied AI research in a collaborative Nordic biomedical ecosystem.

Doctoral researcher in computational genomics for predictive medicine at the University of Helsinki is a PhD position in the Barrett lab, jointly affiliated with the ELLIS Institute Finland, the Institute for Molecular Medicine Finland (FIMM), and the Faculty of Medicine. The project sits at the intersection of genomics, multiomic data analysis, and AI-driven biomedical research. The lab’s goal is to discover, understand, and measure mechanistically meaningful subtypes of complex human diseases, with a focus on moving beyond clinical labels toward molecular and biological endotypes that can better support patient treatment. The advert highlights access to large biobank-linked cohorts and multiomic resources, including genomics, proteomics, metabolomics, transcriptomics, and matched electronic health records. The doctoral researcher will help design and implement a research project in computational genomics for predictive medicine, develop hypotheses, write code, interpret results, and communicate findings through publications and conference presentations. The role also emphasizes collaboration with colleagues at the University of Helsinki, ELLIS Institute Finland, and international partners, plus contributions to open science and mentoring. The position offers the chance to join a newly established laboratory led by Professor Jeffrey Barrett and to work in an environment that combines genomics and molecular medicine expertise at FIMM with the applied AI and machine learning community at ELLIS Institute Finland. The team has access to local supercomputing and cloud resources, and the broader research environment includes ongoing generation of new omics data in samples from the Finnish biobank network. The appointment is fixed-term for up to four years.