One-Year Fellowship in Healthcare Cost Modeling - Duke University Department of Population Health Sciences

Updated: about 5 hours ago
Location: Durham, NORTH CAROLINA
Deadline: 16 Jun 2021

Description:

OVERVIEW

Dr. Matthew Maciejewski and team have an opening for a post-doctoral researcher to explore drivers in healthcare costs following bariatric surgery. This project provides an opportunity to use unique statistical models to solve pressing questions related to cost calculations and utilization using health record data.The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM, DrPH) in health services research, epidemiology, economics or biostatistics, with training in causal inference methods. The ideal candidate will have fluency with SAS, Stata or R, the ability to work independently and to work with multi-disciplinary teams.

The term of the appointment is limited to 12 months. The appointment involves substantially full-time research or scholarship and may include teaching responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under the supervision of a mentor or a department at Duke University. The Postdoctoral Appointee is expected to publish the results of his or her research or scholarship during the period of the appointment.

EXPECTATIONS

The conscientious discharge of research or scholarship responsibilities, which may include teaching responsibilities for Postdoctoral Associates.  The post-doctoral fellow will support a methods exploration that will help the study team understand the influence of alternative specifications of the team’s approach to matching surgical patients to non-surgical controls.  The fellow will work closely with the Principal Investigator and statistical co-investigator to implement alternative specifications in Veteran cohorts.  The fellow will also work with them to conduct secondary analyses of post-surgical outcome comparisons.

The fellow is expected to work independently under the guidance and mentorship of Dr. Maciejewski.


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