Postdoctoral researcher

helsinginy Nunavut, Canada

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Postdoctoral researcher in multimodal AI for population health

The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM), University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our team.

Project overview

Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways to utilize this data in healthcare planning, personalized medicine and targeted recall-studies. In this position, you will be a part of an expanding team working on difficult and meaningful challenges together with clinicians. You get to work with multimodal nationwide Finnish health data from 7 million individuals including for example medication purchases, laboratory measurements, clinical notes and imaging. Your main project will involve building and studying multimodal health trajectories on a nationwide scale to catch increasing disease risk as early as possible.

In addition, this data, and similar datasets from our collaborators across the Nordics, Baltics and Europe present a fantastic opportunity to pursue your own ambitious research goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders.

Key responsibilities

• Design, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements, omics and genetics.
• Collaborate closely with other team members, and national/ international collaborators.
• Assist other team members in experiment planning, data processing and interpretation of results.
• Contribute to writing scientific articles, conference presentations, grant applications and supervision of Master’s students and PhD researchers.
• Take part in open science and code sharing.

Skills, expertise and qualifications

• A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline
• Demonstrated machine learning experience in form of high-quality scientific publications, experience working with real-world health data is a plus
• Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
• Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable
• Ability to work independently, as well as collaboratively in interdisciplinary and international research teams
• Willingness to supervise junior researchers and develop your supervision skills
• Excellent command of spoken and written English

Research group

Contract and salary

The position is initially offered for two years, and can be possibly extended. A trial period of six months will be applied. The starting salary will be ca. 3900-4100 euros/month, depending on the appointees’ qualifications and experience, and is based on the University of Helsinki salary system. The University of Helsinki offers comprehensive services to its employees, including occupational health care, support in access to high quality sports facilities, and vast opportunities for professional development. Standard Finnish pension benefits are provided for university employees.

Apply at latest by August 16th, 2026. The call may be extended until a hiring decision is made.

How to apply: The application should include:

1. A one-page letter stating the motivation for applying to this position.
2. A maximum two-page CV.
3. List of scientific publications.
3. An official copy of the PhD degree certificate.
4. Contact information of 2 references (name, relation to candidate, e-mail and telephone number) who have agreed to provide a written statement on behalf of the applicant. Note that the references will be contacted only at a later stage of the process.

To apply, please submit the application through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through SAP Fiori Please send us an application that you have crafted yourself, reflecting your own voice and thoughts. Applications generated by AI do not meet our expectations.

For further information on the position, please contact Dr. Tuomo Hartonen (tuomo.hartonen@helsinki.fi).

A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions.
Click this link to read about accessibility and inclusivity at our University.
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Open position

Due Date: 16.8.2026

(23.59 Europe/Helsinki time)

Unit: Helsinki Institute of Life Science

Sub-unit: Institute for Molecular Medicine Finland (FIMM)

ID: 5083

Working for the world

Science has the power to change the world. Join one of the best research universities in the world – an international community united through bold thinking, science, research, and learning, with over 30,000 students and 8,000 employees.

We are defined by our multidisciplinary approach. This, combined with a dedication for cross-border collaboration, gives us our potential to find real solutions and build hope for a better, more sustainable future.

We are united by our values – truth, bildung, freedom, and inclusivity – as well as our passion for work that truly matters.

Join us: work for the future – work for the world.

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