Postdoctoral Researcher in Machine Learning and Health Economics for Alzheimer’s Disease and Related dementias

The Department of Neurobiology, Care Sciences and Society (NVS) conducts world leading research in aging, dementia, epidemiology and care sciences. This research extends from basic molecular and cell levels to clinical research and societal studies. NVS educates almost a third of KI students at basic and advanced levels. The Department has approximately 540 employees and a revenue 2025 of 580 million SEK. It comprises seven divisions, located at Campus Flemingsberg and Campus Solna. The Division of Neurogeriatrics consists of about 65 employees. The division conducts experimental and translational research related primarily to Alzheimer's disease and other neurodegenerative diseases, but also more general molecular mechanisms with biomedical relevance are studied. The division is mainly located in BioClinicum, KI Campus Solna, and partially in Neo, KI Campus Flemingsberg. Do you want to contribute to top quality medical research? At the Division of for Neurogeriatrics, we investigate neurodegenerative disorders from multiple perspectives. Our research integrates basic neuroscience with clinical research, health economics and outcomes research to improve diagnosis, treatment and care. The Health Economic Research Group (HERG) develops and applies methods to evaluate the clinical and economic value of medical innovations, including in Alzheimer’s disease and related dementias. We study prevention strategies, diagnostic tools, digital solutions and disease-modifying treatments. We use data from registers, population-based studies, research cohorts, surveys and clinical trials to examine how these innovations can improve health and provide value for patients, caregivers and society. We are a multidisciplinary team of health economists, data scientists, physicians, and epidemiologists. We collaborate extensively with research groups, healthcare organizations, companies, and policymakers in Sweden and internationally. Our group offers a collaborative research environment, access to advanced computing and AI resources and opportunities to develop and lead research projects and build an independent research profile. Your mission You will work within two international research consortia on precision medicine in Alzheimer’s disease. Your responsibilities will include collaborating with leading research groups, clinics, and innovative companies; performing statistical and machine-learning analyses of multi-cohort and multimodal data; developing and validating prediction models for clinical decision support; conducting economic modelling; writing scientific reports and manuscripts; and disseminating project results. You will also contribute to other research activities within HERG, including economic modelling studies, synthetic data simulations, register-based observational research, as well as supervision of junior researchers in the group. We expect you to take an active scientific role by developing and driving new research directions and contributing to new tools and methods that can be applied across projects within the group. Your profile To be eligible for employment as a postdoctoral researcher, you must hold a doctoral degree or a foreign degree deemed equivalent to a Swedish doctoral degree. This eligibility requirement must be fulfilled no later than the time the employment decision is made. It is considered a merit if you obtained your doctoral degree within the past three years; however, if there are special circumstances, your degree may have been awarded earlier. Other mandatory criteria:

• A doctoral degree in machine learning, biostatistics, medical informatics, health economics, epidemiology, neuroscience, or a closely related field.
• Excellent programming skills in Python.
• Documented experience in advanced statistical and machine learning analyses of large datasets.
• Ability to work independently and to collaborate effectively with group members as well as national and international partners.
• Excellent English speaking and writing skills.
• Reliable, accurate, and highly motivated.

Meriting criteria:

• Good programming skills in other languages such as R and JavaScript.
• Good theoretical knowledge of health economics.
• Experience of analyzing multimodal data, such as integrating fluid biomarker, neuroimaging, and cognitive test data.
• Research experience in neurodegenerative disorders.
• Good spoken and written Swedish.

What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading medical universities. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement. The position is a full-time employment for two years with possibility of extension. Location: Bioclinicum, Solna NVS Division of Neurogeriatrics Application An employment application must contain the following documents in English or Swedish:

• PhD certificate
• A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
• A complete list of publications
• A summary of current work (no more than one page)

Welcome to apply at the latest 2026-12-03. KI applies individual and differentiated salary setting in accordance with our collective agreements RALS and RALS-T The application is to be submitted through the Varbi recruitment system. Want to make a difference? Join us and contribute to better health for all!