location:

Stanford, USA; Heidelberg, Germany; Or remotely

The team led by Pascal Geldsetzer of Stanford University is looking for a talented researcher with experience with econometric/quasi-experimental methods of causal effect estimation (e.g., regression discontinuity and difference-in-differences) to help us expand our work on the relationship between shingles vaccination and dementia/cognition (see: https://www.nature.com/articles/s41586-025-08800-x; https://jamanetwork.com/journals/jama/fullarticle/2833335), as well as the relationship between vaccines, infections, and dementia in general.

Data sources for our work in this area are large-scale electronic health record data, medical claims data, death registries, and epidemiological cohort studies. The researcher is expected to publish in high-impact general science and clinical journals.

We are looking for someone to start as soon as possible but there is no set application deadline – we are recruiting on an ongoing basis. We also partner with Heidelberg University for candidates interested in living in Germany. Remote work options are possible; Of course a location at Stanford or Heidelberg is also welcome.

Required qualifications:

• PhD degree with quantitative training (ideally in econometrics) or relevant research experience.
• Strong coding skills in R, Stata, or other statistical software packages.
• Good communication skills in English.

This is a two-year position with strong potential for renewal. We also offer attractive opportunities for those interested in a long-term career in academia who do not follow a tenure-track faculty track.

APPLICATION INSTRUCTIONS: Please send your CV (no cover letter or reference letters required) via email to pgeldsetzer@stanford.edu. Please only apply if you are seriously considering this opportunity.