Open Postdoctoral position, faculty mentor Pascal Geldsetzer

Important Info

Faculty Sponsor First name:

Pascal

Faculty Sponsor Last Name:

Geldsetzer

Stanford Departments and Centers:

Medicine, Primary Care and Population Health

Epidemiology and Population Health

Health Policy

Med: PCOR

Neuroscience Institute

Medicine, Biomedical Informatics Research (BMIR)

Biomedical Data Science

Medicine, Center for Digital Health

Postdoc Appointment Term:

1-3 years

Appointment Start Date:

As soon as possible (but also interested in candidates who want to start later)

Group or Departmental Website:

https://profiles.stanford.edu/pascal-geldsetzer

How to Submit Application Materials:

Please send your CV to pgeldsetzer@stanford.edu

Does this position pay above the required minimum?:

Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.

Pay Range:

$79,056 – $130,000

We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences) to help the Geldsetzer lab expand its work on the link between shingles vaccination and dementia (see: https://www.nature.com/articles/s41586-025-08800-x; https://jamanetwork.com/journals/jama/fullarticle/2833335; https://www.cell.com/cell/fulltext/S0092-8674(25)01256-5; https://www.thelancet.com/journals/laneur/article/PIIS1474-4422(25)00455-7/fulltext; https://www.nature.com/articles/s41591-026-04474-8), as well as vaccines, infections, and brain health more generally.

Data sources for our work in this area are large-scale electronic health record data, medical claims data, mortality registries, and epidemiological cohort studies. The researcher will be 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 specific deadline for the application – we hire on an ongoing basis.

This is a two-year position with strong possibility of renewal. We also offer attractive opportunities for those interested in a longer-term career in academia that is not on a faculty tenure track.

Required Qualifications:

Doctoral degree with quantitative training or quantitative research experience.
Training and experience in causal inference.
Strong coding skills in R, Stata, or other statistical software package.
Good communication skills in English.

Required Application Materials:

CV (no cover letter or letters of reference required)