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HERC: Metro New York & Southern Connecticut Data Scientist - Open Rank Faculty - Research (Tenure Track) in New York, New York

Employer Name: Columbia University

The College of Dental Medicine (CDM) at Columbia University is searching for a full-time tenure track open-rank research faculty in Data Science and one of the following fields: Bioengineering, Systems Biology, or Orally Related Diseases. Reporting to the Section Chair, the Data Science ? CDM faculty are expected to develop, sustain, and lead an active, obvious, externally funded research program with outstanding scholarship and to demonstrate excellence in teaching and mentoring students at all levels including those in our DDS/PhD program. The candidate will collaborate closely with the Data Science Institute. A successful candidate will have demonstrated evidence of scholarly impact through publications and the potential to conduct pioneering research, obtain funding support, and collaborate, teach, and mentor effectively. In addition to technical and scientific knowledge, the candidate of choice will have excellent organizational and interpersonal skills, and thrive in a collaborative, fast-paced, and multi-disciplinary research setting. Our top-tier research institution provides extensive opportunities for collaborations across the university and medical center and collaborations with fellow researchers within CDM. Ph.D. in cancer biology, microbiology, immunology, systems biology, bioengineering, computational biology, computer science, applied math, or dental and medical degree with equivalent research experience. Academic rank and salary commensurate with qualifications and experience. Women and minorities are particularly encouraged to apply. Interested candidates should submit curriculum vitae, research, and teaching statements/plans to http://apply.interfolio.com/153458 . 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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