Postdoctoral Fellow in Genetic Epidemiology - Memorial Sloan Kettering Cancer Center

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. 

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Exciting Opportunity at MSK: The Epidemiology and Biostatistics Services is looking for a Postdoctoral Fellow in Genetic Epidemiology to join the team.

We are seeking highly talented and motivated candidates interested in quantitative epidemiology and radiogenomics research in breast cancer and glioma. The successful candidate will join the interdisciplinary research teams of Drs. Jonine Bernstein and Ronglai Shen bridging both the Epidemiology and Biostatistics Services. The fellow will primarily devote time to NCI-funded multi-center research studies focused on understanding the joint roles of genetics and treatment in the etiology of breast cancer and glioma. However, there will also be opportunities to develop epidemiologic studies focused on imaging biomarkers of cancer risk, cancer treatment-related issues including the influence of radiation therapy on non-cancer outcomes, and genetic predisposition to cancer. The fellow will play a leading role on research projects, have the chance to present research findings at national scientific meetings, develop grant writing skills and to learn from a cadre of other postdoctoral fellows and mentors.

Key Qualifications:

• A doctoral degree in epidemiology, biostatistics, or a related quantitative discipline, including but not limited to population health, genetic/molecular, genetics, statistical genetics or environmental health.
• Strong understanding of quantitative methods, study design, data analysis, and interpretation.
• Experience working with large genetic and population-based data sets, SEER, and proficiency in a statistical programming language, including R/python or SAS.
• Strong verbal and written communication skills.

Application Instructions: 

The position is open immediately until filled. Interested applicants are invited to submit their CV, a career statement outlining their interest, and the names/contact information of three references to:

Emilie Childs

Senior Administrative Assistant

childse1@mskcc.org

Pay Range: $55, 439 - $100, 940

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