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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

Salary funded through the University of Helsinki salary system; starting salary typically around 2600-2850 EUR per month and increases gradually during the PhD. Fixed-term position for up to four years.

Deadline

Nov 19, 2026

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Country

Finland

University

University of Helsinki

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Keywords

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

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About this position

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.

Funding details

Salary funded through the University of Helsinki salary system; starting salary typically around 2600-2850 EUR per month and increases gradually during the PhD. Fixed-term position for up to four years.

What's required

A Master’s degree in computational biology, data science, bioinformatics, or a related discipline is expected, although exceptional candidates may be considered straight from a bachelor’s degree. Candidates 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 problem-solving is important. Nice-to-have experience includes 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 use of agentic AI tools while retaining independent thinking.

How to apply

Apply through the University of Helsinki recruitment system by 2026-11-19. Include a one-page cover letter in your own voice, a CV with publications and GitHub link if applicable, and contact details for two references. Contact Jeff Barret at jeffrey.c.barrett(at)helsinki.fi for questions about the position or research goals.

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Professors

Professor at University of Helsinki

University Name
Country flag

Finland

Research Interests

Statistics

Artificial Intelligence

Ml

Computer Science

Bioinformatic