Postdoctoral Fellowship in Precision Health & Epidemiology
Description
Postdoctoral Fellowship in Precision Health and Epidemiology
The Institute for Population and Precision Health at the University of Chicago integrates developments in genomics, bioinformatics, information technologies, and data science within the context of a broader population health research perspective to improve disease prevention and health promotion while addressing health disparities in Chicago and beyond. In applying emerging precision medicine technologies and methods at a population level, the IPPH brings together approaches from a variety of disciplines to consider the impact of genomics, the microbiome, the environment, societal factors, and the implications of preventive and population health policies. This position for post doctoral fellow involves research on precision health, epidemiology and population health as part of ongoing projects. Fellows will lead analysis and manuscript production on a variety of topics with a focus on chronic disease, the environment, and genomics. Successful candidates will have strong methodological skills and an interest in precision health and data science and AI/ML applications in environmental, genetic and chronic disease epidemiology. Postdoctoral fellows work with dedicated mentors in a dynamic, multidisciplinary research environment where they receive training in epidemiology and precision health method and manuscript/grant writing. Fellows are encouraged to pursue career development activities, present at professional conferences, develop independent research projects, and apply for a K99/R00 or other research grants. The ideal candidate will have a PhD, MD or equivalent graduate degree in epidemiology, medicine, biostatistics/data-science, or related field. Programming and data analytic skills as well as strong written and oral communication skills are required. This is a two-year position with the opportunity to renew for multiple years.
Qualifications:
Ph.D. or MD with a strong background in epidemiology, longitudinal data analysis, survival analysis, risk prediction, and manipulation of large datasets. Expertise in biomarkers, the environment, and genomics is also a strength. A demonstrated ability to work both independently as well as collaboratively with a multi-disciplinary and diverse team is important.
Key words: cardiovascular, cancer, epidemiology, biomarkers, environment, genomics, translational research
Location: Chicago,
Job Type: Full-time
Contact
Contact: Brisa Aschebrook
Phone:
Email: brisa@uchicago.edu
Website: https://ipph.uchicago.edu/about/about-the-ipph/