Research Associate, Causal
University of Pennsylvania Perelman School of Medicine
Philadelphia, PA0–3 yrs6d agovia LinkedIn
About the Role
The Department of Biostatistics and Epidemiology at the Perelman School of Medicine at the University of Pennsylvania is seeking candidates for several 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
- Develop and apply 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.
- Collaborate on translational biomedical research with CCI trainees and other researchers at the Penn School of Medicine and the Children’s Hospital of Philadelphia.
Requirements & Tech Stack
- Ph.D. or equivalent degree.
- Opportunity to work under the supervision of PI Dr. Eric Tchetgen Tchetgen, focusing on methodological developments for Causal Inference and related Missing Data Problems.
- Expected to build a clear path towards an independent researcher.
Qualifications
- Experience with statistical and machine learning methods.
- Experience with causal inference methods.
- Experience with electronic health records (EHRs) data, claims data, and biobank data.
- Experience with software development and documentation.