Postdoctoral Fellowship in Cancer Epidemiology

The Department of Public Health Sciences at the University of Chicago seeks candidates for a fully-funded postdoctoral position in the area of molecular epidemiology with special focus on disparities in multiple myeloma. In applying emerging precision medicine technologies and methods, our ongoing large-scale epidemiology studies integrate genomics, epigenomics, bioinformatics, machine learning, and epidemiology to improve myeloma prevention and management. Existing resources include data from GWAS, genome-wide methylation in tumor cells and circulating cell-free DNA, epidemiology questionnaires, clinical and laboratory data, imaging data, as well as biological samples. The fellow will lead analysis and manuscript production on a variety of topics with an emphasis on the impact of tumor and clinical features, genetics, epigenetics, and lifestyle and environmental factors on disparities in risk and outcomes of multiple myeloma. The postdoctoral scholar will also have an active role in ongoing research on liquid biopsy-based cancer biomarker development and have opportunities to initiate new projects and/or develop grant proposals.

Successful candidates will have strong epidemiology and biostatistics methodological skills and an interest in precision health and machine learning applications in genetic, epigenetic, and clinical epidemiology. 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 in R, SAS, or STAT as well as excellent writing and oral communication skills are required. The postdoctoral fellow will work with dedicated mentors in a dynamic, multidisciplinary research environment where they will receive training in epidemiology and precision health methods and manuscript/grant writing. The fellow is encouraged to pursue career development activities, present at professional conferences, develop independent research projects, and apply for K99/R00 or other research grants. 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, epigenetics, survival analysis, longitudinal data analysis, and machine learning. Expertise in biomarkers 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: cancer, myeloma, epidemiology, epigenetics, biomarkers

Please send a letter including a statement of research interests and future goals, curriculum vitae, and names/addresses of 3 references to: Dr. Brian Chiu (mmepi@health.bsd.uchicago.edu). Application review will begin immediately but will continue until the position is filled.