Postdoctoral Fellowship in Environmental Epidemiology – Posted July 25, 2024
The Institute for Population and Precision Health at the University of Chicago is seeking a highly motivated Postdoctoral Research Fellow. The postdoctoral fellow will work under the direct supervision of Dr. Laura McGuinn, Assistant Professor, to examine social and environmental risk and resilience factors for reproductive and mental health outcomes using data from large scale population health studies and electronic health records. Projects will additionally leverage digital technologies and geospatial analyses to assess exposures and health outcomes in vulnerable populations. This is an excellent opportunity for a candidate who is passionate about understanding how air pollution and non-chemical risk and resilience (i.e. noise, green space, discrimination, community deprivation) factors impact health outcomes, with a particular focus on health disparities and community engagement. Postdoctoral fellows will receive multidisciplinary training and are encouraged to participate in grant writing and other relevant training courses. This is a two-year position with the opportunity to renew for multiple years.
Responsibilities
- Conduct literature and systematic reviews on environmental health disparities topics.
- Develop study protocols and conduct data analyses.
- Contribute to the writing and reviewing of manuscripts for peer-reviewed scientific journals.
- Present research findings at local, domestic, and international scientific conferences.
- Develop independent research projects and write K-series or other similar research grant proposals.
- Work collaboratively with other researchers and contribute to the overall objectives of the research group.
Qualifications
- Doctoral degree in Epidemiology or related quantitative field.
- Strong written and oral communication skills.
- Excellent data management and analysis skills including expertise in quantitative research methods and advanced statistical analyses.
- Proficiency in R or other statistical and/or geospatial analysis software (i.e. SAS, QGIS, ArcGIS).
- Expertise in Geographic Information Systems (GIS), digital health analyses, ecological momentary assessment methodologies, and machine learning is highly desirable.
- Candidates should have a strong interest in health disparities.
Applicants should send (1) a cover letter, (2) a CV including a list of publications, and (3) the names and email addresses of 3 references to Dr. Laura McGuinn, lmcguinn@uchicago.edu.