Statistics Jobs

This is a current listing of job announcements related to Statistics. If you have any questions or comments regarding this listing, please contact jobs@stat.ufl.edu. To submit a job for posting please use the Statistics Job Submission Form.

Position TitlePostdoctoral Research Fellowship Position in Biostatistics

Company Information

The Department of Biostatistics (https://www.hsph.harvard.edu/biostatistics/) offers an exceptional environment to pursue research and education in biostatistics while being at the forefront of efforts to benefit the health of populations worldwide. Our faculty are leaders in the development of methods for the design and analysis of clinical trials and observational studies, missing data, causal inference, precision health, network analysis, computational and systems biology, microbiome analysis, statistical genetics and genomics, neurostatistics, and environmental statistics. Our innovative approaches to the analysis of massive health-related data are strengthened by a deep foundation in theory and application. Our unique and diverse community provides unparalleled collaborative opportunities with academic departments across Harvard, the Dana-Farber Cancer Institute, and other world-class Harvard affiliated hospitals.

Duties and Responsibilities

The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a PhD in Statistics/Biostatistics for a postdoctoral position. The position involves the development and implementation of methodology for the design and analysis of longitudinal and/or cluster-correlated continuous, categorical or survival outcomes. Specific methodologic challenges that are of interest include: methods for missing data, outcome-dependent sampling schemes and methods for challenges that arise in EHR-based settings. The primary motivating examples are in global health, specifically in resource-limited settings, and in health policy, specifically quality-of-end-of-life care. However, it is anticipated that the methods should be applicable to a broad range of settings. The successful candidate will work with Dr. Sebastien Haneuse and his collaborators.

Position Qualifications

Doctoral degree in Statistics, Biostatistics, or a related field; strong background/expertise in survival analysis; strong computing is desired, along with excellent communication and writing skills.