72000 - 134000 USD
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.medrxiv.org/content/10.1101/2023.05.23.23290253v1; and https://www.medrxiv.org/content/10.1101/2023.09.08.23295225v1)
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: https://www.medrxiv.org/content/10.1101/2023.05.23.23290253v1). 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. Part-time and remote working options are possible; on-site at Stanford or Heidelberg are of course welcome, too.
• 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.
Application Instructions: Please send a CV (no cover letter or letters of reference required) by email to email@example.com.