Posted: 30-Jul-23

Location: New York, NY

Salary: Open

Categories:

Internal Number: 88793

The Data Science Institute (DSI) at Columbia University invites applications for the position of a Data and Cancer Post-Doctoral 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 post-doc 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 post-doc 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 post-doc will work in collaboration with a Tumor Board Clinician Mentor and with DSI Research Scientists and faculty experts . 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 post-doc 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 Post-Doctoral Fellow cohort.  The post-doc 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 Post-Doctoral 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.

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About Columbia University
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.
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