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Jeffrey Barrett

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Doctoral Researcher in Computational Genomics for Predictive Medicine University of Helsinki in Finland

Degree Level

PhD

Field of study

Computer Science

Funding

Fixed-term doctoral researcher position for up to four years; starting salary typically around 2600-2850 EUR per month and rises gradually during the PhD. Finnish university salary system and standard Finnish pension benefits apply.

Deadline

Nov 19, 2026

Country flag

Country

Finland

University

University of Helsinki

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Keywords

Computer Science
Biology
Artificial Intelligence
Computational Biology
Precision Medicine
Medical Science
Biobanking
Genetic
Genomic
Statistics
Bioinformatic
ML

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About this position

The Barrett lab at the University of Helsinki is recruiting a doctoral researcher to work on computational genomics for predictive medicine. The project sits at the intersection of genomics, multiomic data analysis, and machine learning, with a scientific goal of identifying mechanistically meaningful subtypes of complex human diseases. Rather than focusing only on observed clinical phenotypes, the lab aims to characterize diseases through molecular and biological endotypes that can better support treatment decisions.

The position is embedded in a highly connected research environment spanning the University of Helsinki, the Institute for Molecular Medicine Finland (FIMM), and the ELLIS Institute Finland. The lab works with large-scale biobank-linked datasets and multiomic resources, including genomics, proteomics, metabolomics, and transcriptomics, and connects these data to health records to study disease risk, progression, and treatment response. The research setting is explicitly collaborative, with links to international partners and a strong emphasis on open science, including publications, presentations, preprints, and open-source software.

The doctoral researcher will help design and implement an original research project within this theme, working on hypothesis generation, coding, analysis, and interpretation. The post also offers participation in a newly established laboratory led by Professor Jeffrey Barrett, with access to local supercomputing and cloud computing resources and routine generation of new omics data from the Finnish biobank network. The broader environment combines genomics and molecular medicine expertise at FIMM with applied AI and machine learning strengths at ELLIS Institute Finland.

The advert presents this as a research-intensive PhD opportunity focused on computational genomics, multiomic modeling, and AI-enabled predictive medicine in a strong Nordic biomedical research ecosystem.

Funding details

Fixed-term doctoral researcher position for up to four years; starting salary typically around 2600-2850 EUR per month and rises gradually during the PhD. Finnish university salary system and standard Finnish pension benefits apply.

What's required

Master’s degree in computational biology, data science, bioinformatics, or a related discipline is expected, though exceptional candidates may be considered straight from a bachelor’s degree. Applicants should have proficiency in Python or R for data analysis, research experience in computational biology and/or data science, and excellent written and spoken English. Strong motivation for collaborative research is important; experience with high-performance or cloud computing, machine learning frameworks such as PyTorch or TensorFlow, health care and/or genomics data, small-team software development with code review and version control, and agentic AI tools is desirable but not essential.

How to apply

Submit your application through the University of Helsinki recruitment system by 2026-11-19. Include a one-page cover letter written in your own voice, a CV with publications and GitHub link if applicable, and contact information for two references. For questions about the position or research goals, contact Jeffrey Barrett by email.

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Professors

Professor at University of Helsinki

University Name
Country flag

Finland

Research Interests

Artificial Intelligence

Statistics

Ml

Computer Science

Bioinformatic