Postdoctoral Fellow – Causal Inference and Cancer Epidemiology - The University of Texas MD Anderson Cancer Center (Job)
Description:
The Department of Breast Surgical Oncology at The University of Texas MD Anderson Cancer Center invites applications for a full-time postdoctoral fellowship focused on developing and applying methods for estimating the causal effects of longitudinal treatment strategies in breast cancer care.
A main focus of current projects, funded by PCORI, is the comparative effectiveness of adherence strategies on oncologic outcomes in patients treated with endocrine therapy. The central methodological contribution is a framework for "patient-choice (PC) protocols": treatment strategies that allow patients to flexibly balance quality of life and clinical outcomes during sustained pharmacotherapy. The fellow will contribute to the theory, estimation, and real-world application of these methods using large healthcare claims databases and data from an international phase III clinical trial.
The fellow will:
• Participate in a weekly cross-institutional causal inference conference, with opportunities to collaborate on methods development and applied projects beyond the funded work
• Work with mentors in Breast Medical Oncology, Breast Radiation Oncology, Health Services Research, Biostatistics, and the Institute for Data Science in Oncology
• Work closely with clinician-researchers at one of the world’s leading cancer centers
• Be part of the MD Anderson Postdoctoral Association
The position offers up to three years of postdoctoral fellowship with competitive compensation and yearly renewal based on performance. Travel funds are available for presenting research and networking.
Skills/Eligibility:
Eligibility: Candidates must have completed a PhD or ScD in biostatistics, statistics, epidemiology, or a related field, with a focus on causal inference methods. Strong statistical and programming skills are required, with proficiency in R (preferred), SAS, or Python. Experience with large administrative claims datasets is helpful.
How to Apply:
How to apply: Email Kerollos Wanis (KWanis@mdanderson.org) with the subject line "Last name, First name, Postdoctoral Fellowship Application" and include: (1) a brief cover letter describing your research interests, qualifications, and career goals; (2) your CV; (3) two letters of reference; and (4) three writing samples, publications, or working papers. Questions and pre-application inquiries are welcome. The position is available for immediate hire, and applications are reviewed on a rolling basis until the position is filled.