Postdoctoral Associate Position in Biostatistics
Information:
The Department of Biostatistics at Yale School of Public Health (YSPH) is home to Biostatistics faculty who are leaders in developing quantitative methodologies and tools for rigorous scientific research to solve the world's most challenging problems in biology, medicine, and public health. The Yale School of Public Health's new Center for Methods in Implementation and Prevention Science (CMIPS) was created to develop and disseminate innovative methodological approaches to address novel study design, causal inference, implementation gaps of intervention studies and to directly improve health outcomes worldwide.
Description:
The Department of Biostatistics & Center for Methods in Implementation and Prevention Science at the Yale School of Public Health (YSPH), Yale University, is seeking a highly motivated full-time Postdoctoral Associate to join our team. The candidate will engage in cutting-edge research, tackling statistical challenges that arise from real-world applications in pragmatic trials and observational studies. The successful candidate will work with Dr. Fan Li to develop causal inference methods for pragmatic clinical trials, including cluster randomized experiments and stepped wedge trials, to address challenges due to estimands specification, multiple treatments, and intercurrent events. The candidate will also collaborate with multidisciplinary researchers at Yale on applying new methods to real-world data. The candidate will be able to attend regular meetings and interact with colleagues from the NIH Collaboratory of Pragmatic Clinical Trials and leaders in pragmatic and effectiveness trials.
Learn more about the YSPH Department of Biostatistics, CMIPS, and the NIH Collaboratory of Pragmatic Clinical Trials.
Qualifications:
Qualifications required are a PhD in statistics or biostatistics or relevant areas, a strong background in statistical methods and programming, and good writing and communication skills. Prior coursework in longitudinal data methods, clinical trials and causal inference are preferred. Salary will be based on the NIH postdoctoral research salary scale, and support for travel to conferences is also available.
The position is for one year, with renewal in the second year depending on funding and performance. Information on benefits for postdoctoral positions can be found here.
To apply, please submit a CV, cover letter, and contact information for 2-3 references. In your cover letter, please summarize your relevant research experience and indicate your research interest and the date you will be available to start. Applicants must have completed all PhD requirements prior to starting work. Scientific questions regarding this position should be directed to Fan Li at fan.f.li@yale.edu. 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.