NLM Non-Degree Postdoctoral Fellowship

Columbia Department of Biomedical Informatics; New York (NY); On-site; USD 60,000 - 75,000; Full time

Job summary

The Columbia University Department of Biomedical Informatics (DBMI) seeks candidates for a postdoctoral fellowship funded by the National Library of Medicine. The fellowship supports 2-3 years for research in machine learning for healthcare, next-generation clinical decision support, mobile health, translational informatics, and computational biology under the mentorship of one of our faculty.

Eligible candidates for the fellowship are US citizens and residents with an MD or PhD degree.

Qualifications

• US citizens or permanent residents eligible for the fellowship.
• Fellowship funded by the National Library of Medicine (NLM).
• 2–3 year research appointment under faculty mentorship.

Responsibilities

• Plan and execute research in ML for healthcare applications.
• Collaborate with clinicians and researchers across DBMI.
• Disseminate findings via publications and presentations.

Skills

Machine learning in healthcare

Translational informatics

Clinical decision support

Education

MD or PhD

Job description

The Columbia University Department of Biomedical Informatics (DBMI) seeks candidates for their postdoctoral fellowship funded by the National Library of Medicine. The fellowship supports 2-3 years for research in the areas of machine learning for healthcare, next-generation clinical decision support, mobile health, translational informatics, and computational biology under the mentorship of one of our faculty.

Eligible candidates for the fellowship are US citizens and residents with an MD or PhD degree.

DBMI is a highly collaborative and interdisciplinary department, comprising 45 faculty members and 50 students and postdoctoral fellows. The Department has amassed a large, diverse research portfolio, breaking new ground in several areas of informatics research. Its mission is to improve the health of the population and to make biomedical discoveries using information and computational techniques. It runs a diverse portfolio of clinical applications for New York-Presbyterian Hospital, including a 5-million-patient, 12,000-user electronic health record and a number of vendor products. The Department is known for its work on informatics to support clinical care and clinical research, observational research, medical language processing, and translational bioinformatics.