Careers

Description:

Applications are invited for a postdoctoral fellowship in Environmental Health (EH) Biostatistics in the Department of Biostatistics and Computational Biology at UR, funded by an NIEHS T32 training grant. The department includes 17 tenure-track and 3 research-track faculty and approximately 25 graduate students. Our goal is to prepare qualified predoctoral and/or postdoctoral trainees for careers that have a significant impact on the health-related research needs of the country within a diverse and inclusive environment. Depending on statistical training, the appointee will develop novel statistical methodology for projects related to EH, or carry out applied statistical analyses for EH-related projects, under the co-mentorship of Biostatistics and EH faculty trainers. Methodological expertise among Biostatistics faculty trainers includes Bayesian MCMC methods, models for multiple outcomes, latent variable models, measurement error, missing data, causal inference, survival analysis, clustering, statistical genomics, molecular systems biology, and bioinformatics.

The specific area of methodological development or applied analysis may be based in part on the trainee’s interests, and may be motivated by ongoing EH research at UR, such as studies of the effects of exposure to air pollution, metals, endocrine disruptors, pesticides, shale gas (fracking) or stress on pregnancy outcomes, reproduction, immune function, neurodevelopmental disorders, cognitive outcomes, or gene expression pathways. The appointee
will also receive further training in biostatistics and toxicology, and be involved in collaborative work with EH researchers. Interested trainees will have the opportunity to gain experience in community engaged research related to understanding and addressing environmental health problems.

Candidates should have a doctoral degree in (bio)statistics, epidemiology, computational biology, data science, environmental health or a related field, with training in statistics and programming, and excellent communication skills. In accordance with NIEHS regulations, trainees must be US citizens or non-citizen nationals of the US who have been lawfully admitted for permanent residency, and must have a doctoral degree by the start date. The initial appointment is for one year with the possibility of renewal for a second year. The candidate should plan to start in fall 2021, but a later start date will also be considered.

A cover letter describing research experience, a current CV, graduate transcript (can be unofficial) and contact information for three references should be sent to Sally_Thurston@urmc.rochester.edu
(please reference “NIEHS postdoctoral position” in the subject). Applications will be accepted until Sept 1 or until filled. For more information see https://www.urmc.rochester.edu/biostat/training-grant.aspx.