Important Info
Interested candidates should submit the required application materials to mplin@stanford.edu (subject line: Postdoctoral Scholar Application). Applications will be reviewed on a rolling basis until the position is filled.
Dr. Michelle Lin is seeking a highly motivated postdoctoral researcher to contribute to cutting-edge research that aims to improve emergency medical care and population health outcomes. The successful candidate will engage in NIH-funded research to improve care delivery and outcomes, with a focus on access to care after emergency visits among Medicare and Medicaid beneficiaries and health equity.
Key Responsibilities:
• Conduct and manage research projects focused on emergency medicine health services.
• Utilize advanced quantitative methods to analyze large healthcare datasets, including Medicare and Medicaid claims data.
• Publish findings in high-impact scientific and clinical journals.
• Collaborate with multidisciplinary teams within and outside the institution.
Appointment Details
The fellowship is a one-year appointment, with a strong possibility of extension for the successful candidate. Start date is immediate and rolling. The expected base pay range for this position exceeds Stanford guidelines. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate and budget availability. This is a hybrid position with flexible hours.
• Ph.D. in epidemiology, public health, economics, health policy, health services research, or a related field.
• Strong quantitative and analytical skills, with proficiency in statistical software (e.g., R, Stata, Python).
• Excellent written and verbal communication skills.
• Demonstrated ability to work independently and as part of a team.
Preferred (but not Required): Experience conducting analyses with administrative claims datasets (e.g., Medicare, Optum, MarketScan).
- CV
- One-page statement of research interests.
- We will request a sample publication/first-author manuscript with related analysis code and references later during the recruitment process.