Publisher
source

Utrecht University

PhD Position in Generative AI in Health Technology Assessment (HTA) at Utrecht University Utrecht University in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Paid PhD position for 18 months initially, with extension to a total of four years upon positive assessment. Salary ranges from €3,204 per month in the first year to €4,051 per month in the fourth year for full-time employment, plus 8% holiday pay, 8.3% year-end bonus, pension scheme, partially paid parental leave, and flexible employment terms.

Deadline

Sep 30, 2026

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Country

Netherlands

University

Utrecht University

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Keywords

Computer Science
Data Science
Epidemiology
Health Economics
Medical Science
Pharmacy
Salud Pública
Pharmaceutical Chemistry
Pharmacoepidemiology
Economics
Statistics
Pharmacokinetic

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About this position

Utrecht University is offering a PhD position in Generative AI in Health Technology Assessment (HTA) within the Faculty of Science, Department of Pharmaceutical Sciences, in the Netherlands.

This project explores how generative AI (GenAI) can support the HTA lifecycle for medicines, from horizon scanning and early dialogue to initial assessment, real-world evidence generation, and reassessment. The research will examine where GenAI adds value, where it introduces risks, and how it can be translated into practical tools for HTA assessors.

Possible research topics include mapping current and anticipated GenAI use across HTA bodies, evaluating whether GenAI tools can reliably extract and analyse information from national and EU HTA reports, studying how GenAI may connect methodological needs with existing and emerging methods, and examining how technology developers use GenAI in HTA submissions.

The position is embedded in the Academic Research Network HTA, a collaboration between the National Health Care Institute (Zorginstituut Nederland), Erasmus University Rotterdam, and Utrecht University. The PhD candidate will work closely with policy officers at ZIN, academic experts at Utrecht University, and international experts in GenAI in healthcare. The role also includes contributing to HTA teaching for bachelor and master students.

Applicants should hold an MSc in pharmaceutical or (bio)medical sciences, health economics and/or HTA, epidemiology, data sciences, or a related field. Strong English communication skills are essential; Dutch is a strong advantage. Experience with qualitative and quantitative analysis tools such as NVivo, R, or SAS, and prior use of LLMs or other GenAI tools for data extraction and analysis, is considered a plus.

This is a paid PhD position with an initial 18-month appointment and the possibility of extension to four years after positive evaluation. The salary ranges from €3,204 to €4,051 per month (full-time), plus holiday pay, year-end bonus, pension, and other employment benefits.

Deadline: 30 September 2026.

Funding details

Paid PhD position for 18 months initially, with extension to a total of four years upon positive assessment. Salary ranges from €3,204 per month in the first year to €4,051 per month in the fourth year for full-time employment, plus 8% holiday pay, 8.3% year-end bonus, pension scheme, partially paid parental leave, and flexible employment terms.

What's required

Applicants should have an MSc in pharmaceutical or (bio)medical sciences, health economics and/or HTA, epidemiology, data sciences, or another relevant field. They should be able and willing to learn and apply quantitative and qualitative methods within HTA, have an interest in cross-disciplinary work, and possess strong oral and written English skills; Dutch is a big advantage. The role also values independence, critical reflection, initiative, and responsibility. Experience with qualitative and quantitative data analysis tools (e.g. NVivo, R, SAS) and with GenAI/LLMs for data extraction and analysis is a plus.

How to apply

Apply via the university's Apply now button on the vacancy page. Submit a motivation letter, CV, and the names, telephone numbers, and email addresses of at least two references. For questions about the position, contact Dr. C. Leopold; for application procedure questions, email [email protected].

More information can be found here

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