Career Center

The Department of Epidemiology at the Columbia University Mailman School of Public Health in New York City invites applications for a Postdoctoral Research Scientist with interest in dynamic modeling and statistical inference with applications to cancer diseases.  The fellow will join an experienced multidisciplinary team of mathematical modelers, epidemiologists, cancer biologist, physician, and biostatistician, to develop cutting-edge model Bayesian inference systems for a project to study risk factors contributing the recent increases in young onset cancers (e.g. colorectal cancer). 

The fellow is expected to increase his/her methodological and substantive knowledge of studies of cancer biology, epidemiology, statistics, dynamic modeling, and Bayesian inference, build skills for developing and implementing research studies, and have opportunities to lead and/or co-author manuscript publications.  S/he will perform population health research activities, including processing large datasets, performing statistical analyses, developing dynamic models, programing to build and implement model-inference systems, preparing manuscripts for submission to peer-reviewed journals, delivering presentations at scientific meetings, and providing other research and methodological support for existing and ongoing studies. 

The position offers up to three years of postdoctoral fellowship with compensation commensurate with experience, excellent benefits package and funds to travel to professional conferences and meetings. Individuals with the following characteristics will be competitive for the position:  strong motivation and commitment to a career in cancer research and modeling, comprehensive understanding of statistical concepts and methods, excellent communication and quantitative skills, ability to conduct self-directed and collaborative research. 

• PhD, ScD, or equivalent degree in Biostatistics, Computational Biology, Epidemiology, Applied Mathematics, Engineering or related analytical discipline;
• Comprehensive understanding of statistical concepts and methods;
• Experience in processing and analyzing large datasets (e.g. population survey data);
• Proficiency in at least one programing language (e.g. R, Python, Matlab);
• Excellent communication skills (both oral and writing) and analytical skills. 

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

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