Postdoctoral researcher specialising in gene–environment interplay

The project 'Genomics and Life Paths: Unraveling the genetic and social interactions shaping social, economic and health inequalities' is funded by a four-year infrastructure grant from the Swedish Research Council. Its purpose is to increase knowledge of the complex interplay between genes and environments in shaping health and socio-economic positioning.

Specifically, the research uses the rapidly increasing availability of large-scale genotype data across Europe, combined with detailed register and survey data from several countries. This enables mapping how specific genetic factors covary and interact with environmental exposures to produce variation in outcomes such as health, education, income, political participation, social trust, and other (social)behaviours. The project aims to continue developing a world-class interdisciplinary research environment at the forefront of social science genomics.

The project is recruiting three new postdoctoral fellows across three research nodes: one at Uppsala University, one at Oslo University, and one at Amsterdam UMC. This vacancy is for the Amsterdam UMC position, though candidates may also apply for the other two nodes. The three postdoctoral fellows will work closely together and with other project members across all three locations. To facilitate collaboration, successful candidates will spend some time at the other two nodes during the appointment.

You will conduct independent and collaborative research within the project scope. Your responsibilities include:

• Undertaking research aligned with the project's core questions
• Contributing to peer-reviewed publications and research outputs
• Participating in project meetings, departmental seminars and activities organised by the collaborating institutions
• Managing and analysing data according to the research plan
• Optionally supervising BSc/MSc students as department needs require

We look for candidates who can demonstrate high-quality research capability. Specifically, you should have:

• A PhD obtained in a relevant field such as Economics, Sociology, Political Science, Psychology, Demography, Statistics, Statistical Genetics, Bioinformatics or a closely related discipline.
• Documented research expertise demonstrated through the quality of your doctoral thesis and/or other publications.
• A strong background in quantitative methods, experience with register data, and familiarity with molecular genetic methods (such as GWAS or polygenic indexes).
• High proficiency in written and spoken English.