Open Postdoctoral position, faculty mentor Maria Polyakova

Important Info

Faculty Sponsor First name: 
Maria
Faculty Sponsor Last Name: 
Polyakova
Stanford Departments and Centers: 
Health Policy
Postdoc Appointment Term: 
One-year appointment, with renewal up to three years possible based on performance
Appointment Start Date: 
September 1, 2026
How to Submit Application Materials: 

Please upload a single PDF document named 

Lastname_Firstname_SHINEPostDoc_2026.pdf 

with the required application materials to this link. For shortlisted candidates, we will solicit reference letters, so please include the contact information of at least two references in your application.

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: 
$76,400 - $85,000

The Secure Health Data Integration and Research (SHINE) Lab is accepting applications for a postdoctoral fellowship position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic drivers of health and, conversely, the effects of health and healthcare policy on social and economic outcomes in the United States. The position will be based at Stanford University but will involve work with researchers both at Stanford and the U.S. Census Bureau.

The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with background in the economics of healthcare, public economics, or other fields of applied microeconomics. We are looking for strong background in data analysis, econometrics, and quasi-experimental methods of causal inference. 

The position provides opportunities to participate in rigorous, quantitative research that tries to shed light on how individuals and families navigate disease and the healthcare system in the U.S. There will also be extensive opportunities to learn more about and work with Census-held administrative records. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources. The candidate should have proficiency with statistical software, ideally Stata, strong written and interpersonal communication skills, and a demonstrated interest in improving health and social outcomes through data-driven research.

The postdoc will directly work in collaboration with the Principal Investigator Prof. Maria Polyakova and other research team members, and will contribute to data development, data analysis, study design, and to manuscript development, publication, and presentations. The postdoc should be interested in publishing in a combination of high-impact economics, general science, medical, and health policy journals.

The postdoctoral fellow will be expected to focus mainly on collaborative projects, but may spend up to 20% of their time on independent research. 

The position will be based at Stanford University in the Department of Health Policy.

Applications will be considered on a rolling basis. We will contact references for a selected set of applicants and short-listed applicants may be called for an interview.

Required Qualifications: 
  • PhD in economics, statistics, sociology or related data science fields
  • Strong data analytic skills, including experience working with large, complex data from administrative sources
Required Application Materials: 

1. A cover letter describing:

  1. Your interest in this position
    1. Your relevant training and experience, especially your experience of working with large datasets. Please also indicate if you have a Special Sworn Status of the US Census Bureau.
      1. Your earliest and preferred start dates
      2. Names, e-mail addresses, and phone numbers of 2-3 references

2. A current CV

3. A job market paper

4. Names, affiliations, e-mail addresses, and phone numbers of 2-3 references

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.