Skip to Main Content
Pathways to Science: Science, Technology, Engineering, and Mathematics. Search for a program . . . find your future.


Postdoctoral Fellowship in Environmental Health Biostatistics


Click Here to Learn More and Apply! 


Academic Level:
Graduate Students (PhD)
Postdoc & Early Career

Description:
The University of Rochester Department of Biostatistics and Computational Biology seeks applicants with a doctoral degree in (bio)statistics, epidemiology, computational biology, data science, environmental health, or a related field for a postdoctoral traineeship in Environmental Health Biostatistics. This postdoctoral fellow position is funded by a NIEHS T32 training grant.

Depending on statistical training, the appointee may develop and apply novel statistical methodology for projects related to Environmental Health (EH), or carry out applied statistical analyses for EH-related projects. The appointee will 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.

The work will be done under the mentorship of a Biostatistics faculty trainer (Drs. Sally W. Thurston, Matthew N. McCall, Brent Johnson, Tanzy Love, Michael McDermott, David Oakes, or Robert Strawderman) and co-mentorship from a leading Environmental Health researcher.

The specific methodological development or area of application 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. Methodological expertise among T32 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.


Program Dates: 7/1/2024

Participating Institution(s):
(Click an institution to see all programs it hosts or sponsors)
University of Rochester (Lead)

Program Materials:
 • Postdoc Website this link takes you to a different website

This Program can be Described by:
Academic Disciplines:
Bioinformatics & Genomics
Computational Sciences
Environmental Sciences
Epidemiology
Statistics

Keywords:
Applied Statistics
Bayesian Methods
Bioinformatics
Biostatistics
Computational Biology
Computational Statistics
Environmental Health
Environmental Toxicology
Epidemiology
Public Health
Statistical Modelling

Learn More and Apply!

This program is funded by:
National Institute of Health (NIH)


Page last updated 1/29/2024
Click here to submit updates to this program listing!

Create your own user feedback survey

PROGRAM ICONS


a flag denotes an institution that is the lead of an allianceInstitution that is the lead of an alliance

An exclamation point denotes a program with an upcoming deadlineUpcoming deadline

an airplane denotes a study abroad opportunityProgram includes a study abroad component

icon indicating a short-term opportunityDifferent from a program, an opportunity is generally short-term; they include paid workshops, travel funds, or professional development opportunities

icon indicating a nationwide programNationwide programs are not based at individual institutions

an airplane denotes a study abroad opportunityProgram Just Posted

a suitcase denotes portable fundingPortable Funding

a globe denotes funding for international studentsFunds International Students

a checkbox denotes a program recently updatedProgram recently updated