The Data Science Institute (DSI) at Columbia University invites applications for the position of a Data and Cancer Postdoctoral Scientist. The recipient of this two-year research position will be embedded in a Columbia University Irving Medical Center (CUIMC) cancer tumor board, an interdisciplinary board of clinicians reviewing plans of care for complex cancer tumor cases using state-of-the-art genomic, imaging analysis, and natural language processing where appropriate.

　　The intent of this postdoc position will be to advance and provide data science expertise, data-driven evidence, and data science decision-making and modeling in cancer patient review and treatment. Based on this unique opportunity to work directly with clinicians, the postdoc will be expected to identify new research questions for data science research in cancer care, work on interdisciplinary research projects between clinicians/MD's and data science researchers at Columbia, and publish original research results. The postdoc will work in collaboration with a Tumor Board Clinician Mentor and with . The individual will play a unique role for the Institute: not just advancing knowledge, but also bringing that knowledge to action in partnership with CUIMC clinicians and DSI researchers.

　　The postdoc will be part of a select like-minded cohort of fellows and research scientists focused specifically on data science and cancer, as well as be a member of the DSI general Postdoctoral Fellow cohort. The postdoc will contribute to the defining the applications and new discovery in the field of data science and cancer treatment for the long-term future.

　　The Data Science Institute Data and Cancer Collaboratory Postdoctoral Scientists are funded by a generous gift to the Data Science Institute with the goal of using data science to advance in cancer treatment, research and discovery.

　　Minimum Degree Required:

　　Candidates must have a doctorate degree in a quantitative discipline such as computer science or statistics, or have a strong quantitative component in a discipline such as biology or medicine.

　　Preferred Qualifications:

　　- Strong knowledge of computer science and statistics.

　　- Experience in computational cancer research (genomics, imaging or clinical).

　　- Strong analytical, computational, and quantitative 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.

　　Equal Opportunity Employer / Disability / Veteran

　　Columbia University is committed to the hiring of qualified local residents.

　　Minimum Salary: 31200.00Maximum Salary: 31200.00Salary Unit: Yearly