Post-Doctoral Researcher Position

Division of Health Informatics

The Division of Health Informatics in the Department of Healthcare Policy & Research at Weill Cornell Medical College is inviting applications for a post-doctoral researcher position. Specific areas of research and development interests for the position include, but not limited to:

  • Electronic Health Records Data Analysis
  • Data mining and machine learning techniques, especially deep learning and reinforcement learning
  • Clinical natural language processing

The successful applicant will have a Ph.D., M.D./Ph.D., or equivalent in biomedical informatics, computer science, health information technology, or a related field. Applicant will have a record of significant research accomplishments as evidenced by work experience and publications in top-tier journals and conferences in informatics and computer sciences. Strong working experience with data mining for electronic health records analysis, and programming with Python and/or R is required. Additionally, working knowledge of big data technologies and tools (e.g., Tensorflow, MXNet) is highly desirable. The successful candidate will also have a track record of interdisciplinary work, and excellent oral and written communication skills.

Interested applicants should submit a letter of interest highlighting their research interests and career goals in health informatics, and a CV to Drs Fei Wang (few2001@med.cornell.edu) and Jyotishman Pathak (pathak@med.cornell.edu).

Fei Wang, Ph.D.
Assistant Professor of Healthcare Policy & Research
Division of Health Informatics
Department of Healthcare Policy & Research
Weill Cornell Medical College, Cornell University
425 East 61st Street, Suite 300
New York, NY 10065
few2001@med.cornell.edu

Jyotishman Pathak, Ph.D.
Chief, Division of Health Informatics
Department of Healthcare Policy & Research
Weill Cornell Medical College, Cornell University
425 East 61st Street, Suite 300
New York, NY 10065
pathak@med.cornell.edu


Weill Cornell Medicine and the Department of Healthcare Policy & Research are committed to the principles of Equal Employment Opportunity and Affirmative Action. We ensure all employment activities are conducted in a fair and equal fashion, without regard to race, creed, religion, color, national origin, sex, age, sexual orientation, predisposing genetic characteristics, marital status, status as a domestic violence victim, individual with a disability, citizenship, protected veteran, or other characteristic as protected by law.


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