Postdoc: Health Economics & EHR Analytics

University of Pennsylvania; Erie (Erie County); On-site; USD 60,000 - 75,000; Full time

Job summary

The University of Pennsylvania invites applications for a postdoctoral researcher in health services research and health economics within the Biostatistics, Epidemiology & Informatics groups. The position focuses on analyzing large EHR datasets and applying causal inference methods under senior faculty supervision.

Candidates should have a doctoral degree in a quantitative field and experience with R or Python, cost-effectiveness analyses, and manuscript writing.

Qualifications

• PhD or equivalent in a quantitative field with interest in economics and cost-effectiveness analysis.
• Experience with healthcare data and large relational datasets.
• Proficiency in a statistical programming language (R or Python).
• Strong data cleaning, management, and reproducible research practices.
• Ability to work with clinicians and contribute to manuscripts.

Responsibilities

• Develop estimation strategies using exogenous variation to identify economically relevant quantities.
• Investigate natural experiments in ED and ICU and related data infrastructure.
• Explore distributed regression analyses across health systems on ED boarding and crowding.
• Contribute statistical and cost-effectiveness expertise to ongoing and planned studies.
• Lead manuscript writing and present findings at conferences.
• Maintain organized datasets and documentation.

Skills

R

Python

Education

Doctoral degree in biostatistics, statistics, economics, epidemiology, health services research, or related quantitative field

Tools

SQL

Job description

The University of Pennsylvania invites applications for a postdoctoral researcher in health services research and health economics within the Biostatistics, Epidemiology & Informatics groups. The position focuses on analyzing large EHR datasets and applying causal inference methods under senior faculty supervision.

Candidates should have a doctoral degree in a quantitative field and experience with R or Python, cost-effectiveness analyses, and manuscript writing.