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Postdoctoral Fellow Ship in Mathematical Modeling of Cancer Diseases

Postdoctoral Fellow in Mathematical Modeling of Cancer Diseases at  CU - EPI 





Organization Type


Job Type

 Postdoc Fellowship

Position Type

Full Time


 New York City, New York (US)



Apply start


Last Date

17 April 2023


Job Description

 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). For more details of the research team, see

The fellow will have training opportunities 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.




  • 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 Document 

CV, cover letter, 2 reference letters, 2 writing samples/publications, and 1-page research statement. For inquiry, contact Dr. Wan Yang (wy2202 at 


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