Postdoctoral Researcher
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("In Helsinki, Finland: Postdoctoral Researcher"), this listing's salary midpoint is about 3% higher. The offer still falls within the benchmark range (€3,600–€4,200). The listed pay band (€3,900–€4,100) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Postdoctoral Researcher | €3,600/per month | €3,950/per month | €4,420/per month |
| In Helsinki, Finland: Postdoctoral Researcher | €3,600/per month | €3,900/per month | €4,200/per month |
| From job ad (Senior) | €3,900/per month | €4,000/per month | €4,100/per month |
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.
Job Details
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
Requirements
- 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
Skills & Technologies
Education Level
DoctorateBenefits & Perks
Recruitment Process
- 1Apply online
- 2Contact for questions
Related Opportunities
Discover more opportunities that match your interests and skills