Postdoctoral researcher in multimodal AI for population health

Tiivistelmä työpaikkailmoituksesta: Postdoctoral researcher in multimodal AI for population health at the Institute for Molecular Medicine Finland, University of Helsinki, working with nationwide Finnish multimodal health data to build health trajectories. Responsibilities include designing, implementing and benchmarking machine learning models for large-scale heterogeneous health data, collaborating with clinicians and international partners, and contributing to publications and supervision. Required qualifications include a PhD in a relevant discipline, demonstrated machine learning publications, proficiency in Python and deep learning frameworks (e.g., PyTorch), and excellent command of English. The position is offered for two years with a six-month trial and a starting salary of ca. €3900–4100 per month, and applicants should apply by August 16, 2026. Tämä tiivistelmä on luotu tekoälyn avulla. 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 The Machine Learning for Health team focuses on applying artificial intelligence to derive meaningful insights from large, real-world health and biomedical datasets. The team is led by Dr. Tuomo Hartonen. We have active collaborations with leading researchers in the EU, UK and US, with opportunities for international research visits during the employment. We collaborate closely with several research groups at FIMM and at ELLIS Institute Finland. We work with diverse international datasets ranging from Finnish and French national health registries to biobank studies such as FinnGen (Finland), UK Biobank (UK) and All of Us (United States). 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 universit