Research Associate, Causal
University of Pennsylvania Perelman School of Medicine
Philadelphia, PA0–3 yrs1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 3 years
- Must know
- StatisticsMachine learning
- Work
- On-site in Philadelphia
- Pay
- Not stated by the employer.
- Skill demand
- Statistics23%Machine learning15%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 12, 2026 · still open
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About the Role
The Department of Biostatistics and Epidemiology at the Perelman School of Medicine at the University of Pennsylvania is seeking candidates for Research Associate positions. This appointment is initially for one (1) year, with continuation and renewal based on satisfactory performance and funding availability, limited to three (3) years.
Key Responsibilities
- Development and application of statistical and machine learning methods for analyzing electronic health records (EHRs) data, claims data, and biobank data.
- Manage the development, documentation, and technical support of industry-grade open-access software implementing state-of-the-art causal inference methods developed by researchers at the Penn Center for Causal Inference.
- Collaboration on cutting-edge translational biomedical research with CCI trainees and other researchers at the Perelman School of Medicine and Children’s Hospital of Philadelphia.
Requirements & Tech Stack
- Ph.D. or equivalent degree.
- Focus on methodological developments for Causal Inference and related Missing Data Problems.
- Opportunity to work under the supervision of PI Dr. Eric Tchetgen Tchetgen.
- Expectation to build a clear path towards an independent researcher.
Qualifications
- Experience with statistical and machine learning methods.
- Experience with electronic health records (EHRs) data, claims data, and biobank data.
- Experience with causal inference methods.
- Experience with missing data problems.