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Postdoctoral Research Fellow or Social Science Research Scholar at Stanford or Heidelberg

Remote / Online - Candidates ideally in
Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Economicsnetwork
Remote/Work from Home position
Listed on 2026-09-25
Job specializations:
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Postdoctoral Research Fellow or Social Science Research Scholar at Stanford (USA) or Heidelberg[...]
# Postdoctoral Research Fellow or Social Science Research Scholar at Stanford (USA) or Heidelberg University (Germany)
Stanford University 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: (25)01256-5; ; ).The team led by Pascal Geldsetzer at Stanford University is 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 us expand our work on the link between shingles vaccination and dementia/ cognition (see: (25)01256-5;

; ), as well as the relationship between vaccines, infections, and dementia 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. We also partner with Heidelberg University for candidates interested in being based in Germany. Remote working options are possible; on-site at Stanford or Heidelberg are of course welcome, too.

Required Qualifications:

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

We will also consider candidates with a Masters degree that includes strong quantitative training.

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.

Application Instructions:
Please send a CV (no cover letter or letters of reference required) by email to pgeldsetzer. Please only apply if you would seriously consider this opportunity.
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