Responsibilities may include : (1) development and application of statistical and machine learning methods for analyzing electronic health records (EHRs) data, claims data, and biobank data; (2) manage the development and 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; and (3) collaboration on cutting-edge translational biomedical research with CCI trainees and other researchers working with the Penn School of Medicine and Children's Hospital of Philadelphia.

The successful applicant will have an opportunity to work under the supervision of PI Dr. Eric Tchetgen Tchetgen, with a focus on methodological developments for Causal Inference and related Missing Data Problems. The candidate is expected to build a clear path towards an independent researcher in preparation for the next stage of their career.

Responsibilities may include : (1) development and application of statistical and machine learning methods for analyzing electronic health records (EHRs) data, claims data, and biobank data; (2) manage the development and 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; and (3) collaboration on cutting-edge translational biomedical research with CCI trainees and other researchers working with the Penn School of Medicine and Children's Hospital of Philadelphia.

The successful applicant will have an opportunity to work under the supervision of PI Dr. Eric Tchetgen Tchetgen, with a focus on methodological developments for Causal Inference and related Missing Data Problems. The candidate is expected to build a clear path towards an independent researcher in preparation for the next stage of their career.