Yale University
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6 days ago
Postdoctoral Associate in Population and Molecular Epidemiology Yale University in United States
Degree Level
Postdoc
Field of study
Environmental Science
Funding
Salary will be commensurate with Yale University postdoctoral compensation policies and the candidate’s experience. The position is benefits-eligible, and support for conference travel and professional development may be available.
Country
United States
University
Yale University

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About this position
Yale University is recruiting a Postdoctoral Associate in Population and Molecular Epidemiology based in New Haven, Connecticut, United States. The position is in the research group of Dr. Xuehong Zhang and focuses on translational epidemiology, molecular epidemiology, omics biomarkers, cancer prevention and control, and population health.
The successful postdoc will work on multi-center projects using large prospective cohort studies, biobank resources, and consortium datasets. Research topics include environmental and lifestyle exposures, metabolic dysfunction, obesity, inflammation, proteomics, metabolomics, and other multi-omics approaches in relation to cancer and chronic disease prevention, including liver-related outcomes. The role emphasizes rigorous epidemiologic and statistical analysis, causal inference, machine learning, and high-dimensional data integration.
This is a one-year, full-time appointment that is renewable. The environment is collaborative, publication-oriented, and mentorship-focused, with opportunities to lead first-authored manuscripts, present at conferences, contribute to new collaborative projects, and develop an independent academic research career. Funding is supported through NIH- and foundation-funded multidisciplinary projects, and the position is benefits-eligible with possible support for conference travel and professional development.
Applicants should have training or research experience in epidemiology, biostatistics, cancer epidemiology, environmental epidemiology, genetic epidemiology, nutritional epidemiology, or molecular epidemiology. Strong programming skills in R, SAS, Stata, or Python are expected, along with experience in cohort, registry, biobank, or omics data. Familiarity with survival analysis, longitudinal data analysis, multivariable regression, and/or biomarker analysis is preferred. To apply, send a cover letter, CV, one writing sample, and three references to Dr. Xuehong Zhang. Review begins immediately and continues until the position is filled.
Funding details
Salary will be commensurate with Yale University postdoctoral compensation policies and the candidate’s experience. The position is benefits-eligible, and support for conference travel and professional development may be available.
What's required
Candidates should have training or research experience in epidemiology, biostatistics, cancer epidemiology, environmental epidemiology, genetic epidemiology, nutritional epidemiology, or molecular epidemiology. Experience analyzing large cohort, registry, biobank, or omics datasets is required, along with strong programming skills in R, SAS, Stata, or Python. Familiarity with survival analysis, longitudinal data analysis, multivariable regression, and/or high-dimensional biomarker analysis is expected. Excellent written and oral communication skills, the ability to work independently and collaboratively, strong scientific integrity, attention to detail, and interest in an independent research career are important. Experience with proteomics, metabolomics, environmental exposure assessment, lifestyle epidemiology, cancer outcomes, or risk prediction is preferred but not required.
How to apply
Send a cover letter, CV with publications, one writing sample, and contact information for three references to Dr. Xuehong Zhang by email. Applications are reviewed immediately until the position is filled.
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