The Department of Epidemiology at 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). Depending on his/her research interest, there are also opportunities to participate in other ongoing research projects including infectious disease modeling. For more details of the research team, see https://blogs.cuit.columbia.edu/wy2202/
The fellow is expected to increase his/her methodological and substantive knowledge of cancer biology and 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, programming 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 for 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 disease modeling, comprehensive understanding of statistical concepts and methods, excellent communication and quantitative skills, ability to conduct self-directed and collaborative research.
About Epidemiology at Columbia: The EPI Department at Columbia is housed within the Mailman School of Public Health, one of the world's leading schools of public health. The Department has nearly a century of history and a dynamic faculty with core strengths in infectious disease epidemiology, social epidemiology, psychiatric and neuro-epidemiology, chronic disease epidemiology, innovative epidemiologic methods, lifecourse epidemiology, and other public health and biomedical areas. We are committed to producing world-class science with real-world impact and training the next generation of leaders in research and practice. For more information, visit https://www.mailman.columbia.edu/
- PhD, ScD, or equivalent degree in Computational Biology, Applied Mathematics, Biostatistics, Epidemiology, Engineering or related analytical disciplines;
- 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, C/C++, Matlab);
- Excellent communication skills (both oral and writing) and analytical skills.
- Experience in mathematical modeling of high dimensional systems and/or individual based modeling would be a plus.
Required Applicant Documents: CV, cover letter, 2 reference letters, 2 writing samples/publications, and 1-page research statement.
Please apply at: