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Post-doctoral Researcher in Computational Genomics for Predictive Medicine at University of Helsinki

University of Helsinki

Published on October 14, 2026

LocationFinland DeadlineNovember 19, 2026 · OPEN Job typeTemporary International applicantsYes

About the opportunity

The Barrett lab at the University of Helsinki is recruiting a post-doctoral researcher in computational genomics for predictive medicine. The position is jointly affiliated with the ELLIS Institute Finland, the Institute for Molecular Medicine Finland (FIMM), and the Faculty of Medicine. The research focuses on analyzing multiomic data—including genomics, proteomics, metabolomics, and transcriptomics—alongside national biobank datasets to uncover mechanistically meaningful subtypes of complex human diseases. The successful candidate will collaborate closely with team members, international partners, and researchers at ELLIS Institute and FIMM, leveraging local supercomputers and cloud resources.

Salary and benefits

  • Starting salary typically around 3,800 to 4,000 EUR per month, based on the salary system of Finnish universities and the appointee's qualifications
  • Comprehensive employee services including occupational health care and support for access to high-quality sports facilities
  • Standard Finnish pension benefits provided for university employees
  • Opportunities for professional development and hands-on supervision from Professor Jeffrey Barrett

Who can apply?

  • A PhD in computational biology, data science, bioinformatics, or a related discipline
  • A strong publication record
  • Proficiency in programming for data analysis in either Python or R
  • Research experience in computational biology and/or data science
  • Motivation to work collaboratively on hard scientific problems with a pragmatic focus
  • Excellent written and spoken English

Required documents

  • A one-page cover letter describing interest in the role written in your own voice
  • CV, including publications and GitHub link if applicable
  • Contact information for two references

When to apply

  • Application deadline is November 19, 2026, at 23:59 Europe/Helsinki time

How to apply

  • Submit your application through the University of Helsinki recruitment system by the deadline
  • Include the required cover letter, CV, and reference contact information

Additional information

  • The position is for a fixed term with a maximum duration of three years
  • A trial period of six months will be applied
  • For more information regarding the position or research goals, contact Professor Jeff Barrett at jeffrey.c.barrett@helsinki.fi

Our Take on This Opportunity

This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.

You may be a strong fit if…

  • Ideal for recent PhD graduates in computational biology, bioinformatics, or data science seeking a high-impact postdoctoral appointment in AI and health
  • Strong fit for researchers experienced in analyzing large-scale genomics or multiomic datasets using Python or R
  • Provides a unique collaborative environment combining resources from FIMM, the ELLIS Institute Finland, and extensive international biobank data

What should you think carefully about?

  • The position is offered on a fixed-term contract with a maximum duration of three years
  • Relocation to Helsinki, Finland is required as the position is on-site at the University of Helsinki
  • A six-month trial period applies at the start of employment

How could this fit your current goals and plans?

This postdoctoral position provides an exceptional stepping stone for early-career researchers aiming to build a cutting-edge academic or industry research profile at the intersection of machine learning, genomics, and translational medicine.

Our take

Highly recommended for ambitious computational biologists and data scientists with a strong publication record who want to contribute to predictive medicine in a newly established, well-funded research lab.

Ready to apply?

Review the opportunity on the official website before applying.

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