Assistant Professor at CUMC

Overview

The department of Biomedical Informatics (DBMI) of Columbia University seeks an exceptional junior level faculty member in clinical informatics. This is a non-tenure track position at the level of Assistant Professor at CUMC.

• Oversee innovation in AI applied to medical education and clinical informatics.
• Participate in the department's education mission including curricula development and mentoring.
• Lead and evaluate clinical informatics interventions in the clinical mission.
• Mentor clinical informatics fellows and participate in the education activities of the department in the medical school.
• Lead clinical informatics activities that provide applied opportunities for mentoring trainees.
• Collaborate on projects led by other faculty members that contribute to the education mission of the department.

DBMI is an interdisciplinary department comprising 50 faculty members and 46 students and postdoctoral scientists. The department has a large and diverse research portfolio and is considered an international leader in several areas of informatics research including AI and machine learning for health care, clinical informatics, clinical research informatics, consumer health informatics, and translational bioinformatics. Its mission is to improve health of populations and to make biomedical discoveries using information and computational techniques.

Mentorship will be provided to help the candidate build the skills needed to succeed in the role.

• The candidate must have a medical degree and have completed a clinical informatics fellowship.
• Expertise in the use and potential of AI for medicine.
• Strong experience of conducting and evaluating clinical informatics interventions in a health system.
• The level of appointment is commensurate with experience.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

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.