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Karolinska Institutet
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Postdoctoral Researcher in Machine Learning and Health Economics for Alzheimer’s Disease and Related Dementias Karolinska Institutet in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Dec 3, 2026
Country
Sweden
University
Karolinska Institutet
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About this position
The Health Economic Research Group (HERG) at Karolinska Institutet’s Division of Neurogeriatrics is recruiting a postdoctoral researcher to work on Alzheimer’s disease and related dementias. The role sits within a multidisciplinary environment that brings together health economists, data scientists, physicians, and epidemiologists, with strong links to research groups, healthcare organizations, companies, and policymakers in Sweden and internationally.
The postdoctoral researcher will contribute to two international consortia focused on precision medicine in Alzheimer’s disease. The work combines statistical and machine-learning analysis of multi-cohort, multimodal data with economic modelling and the development and validation of prediction models for clinical decision support. The project portfolio also includes synthetic data simulations and register-based observational research, alongside broader research activities within HERG.
The advertised position emphasizes both methodological development and applied research. The successful candidate is expected to help generate scientific outputs, disseminate findings, and take an active role in shaping new research directions and tools that can be used across projects in the group.
Karolinska Institutet describes the environment as creative and inspiring, with access to advanced computing and AI resources and opportunities to build an independent research profile. The position is based at Bioclinicum in Solna, within the NVS Division of Neurogeriatrics.
Funding details
Available
What's required
Applicants must hold a doctoral degree or a foreign degree deemed equivalent to a Swedish doctoral degree by the time the employment decision is made. A doctoral degree in machine learning, biostatistics, medical informatics, health economics, epidemiology, neuroscience, or a closely related field is required. Candidates should have excellent Python programming skills, documented experience with advanced statistical and machine learning analyses of large datasets, the ability to work independently and collaboratively, and excellent spoken and written English. Meriting qualifications include programming in R and JavaScript, theoretical knowledge of health economics, experience with multimodal data integration (fluid biomarkers, neuroimaging, cognitive test data), research experience in neurodegenerative disorders, and good spoken and written Swedish. A doctoral degree within the past three years is considered a merit, though earlier degrees may be accepted in special circumstances.
How to apply
Submit the application through the Varbi recruitment system. Include a PhD certificate, a complete CV with thesis defence details and academic history, a complete list of publications, and a one-page summary of current work.
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