Postdoctoral Associate Position in Biostatistics
A full-time Postdoctoral Associate position is available in the Department of Biostatistics at the Yale School of Public Health (YSPH). The candidate will be mentored by Dr. Fan Li to develop:
- Methods for designing pragmatic cluster randomized trials to detect treatment effect heterogeneity
- Methods for estimating heterogeneous treatment effects and identifying interpretable patient subgroups in existing parallel and longitudinal cluster randomized trial databases with continuous, binary, and censored time-to-event outcomes.
This position is supported by an Award from the Patient-Centered Outcome Research Institute (PCORI), with additional mentorship from Biostatistics faculty at University of Washington and Harvard University. The candidate will also have an opportunity to attend regular meetings and interact with a variety of mentors from the NIH Collaboratory of Pragmatic Clinical Trials and world leaders in pragmatic and cluster randomized trial designs.
Qualifications required are a PhD in statistics or biostatistics or relevant areas, strong background in statistical methods and programming, as well as good communication skills. Prior course work in study designs, correlated and longitudinal data analysis and causal inference are preferred. Salary will be based on the NIH postdoctoral research salary scale.
The position is for one year, with possible renewal at the second year depending on funding and performance. Information on benefits for postdoctoral positions.
To apply, please submit a CV, cover letter, and contact information for three references. In your cover letter, please summarize your relevant research experience as well as the date you will be available to begin. Applicants must have completed all PhD requirements prior to starting work.
Scientific questions regarding this position should be directed to Fan Li. Applications will be considered as they arrive.
Yale University is an Affirmative Action/Equal Opportunity Employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected Veterans, and underrepresented minorities.