NLM Non-Degree Postdoctoral Fellowship

About the role

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 of research in areas such as machine learning for healthcare, next-generation clinical decision support, mobile health, translational informatics, and computational biology under the mentorship of one of our faculty.

Responsibilities

• Conduct research aligned with the interests of the mentor and the department's mission.
• Participate in interdisciplinary collaborations within DBMI.
• Write and publish research papers in high-impact journals.
• Present findings at conferences and seminars.

Requirements

• US citizenship or permanent residency.
• An MD or PhD degree.

Qualifications

• Strong background in biomedical informatics, machine learning, or related fields.
• Experience with clinical data analysis and interpretation.
• Excellent communication skills.

Skills

• Proficiency in programming languages such as Python, R, or Java.
• Knowledge of statistical methods and data analysis tools.
• Ability to work independently and collaboratively.

Benefits

• Competitive salary commensurate with experience.
• Flexible schedule to accommodate research needs.
• Opportunities for professional development and mentorship.

Pay

Salary is competitive and commensurate with experience.

Schedule

The schedule is flexible to accommodate research needs.

Contact Information

To apply, send a research statement, a curriculum vitae, a set of no more than 5 relevant publications, and the names of at least three references to Lena Mamykina, Graduate Program Director (om2196@cumc.columbia.edu).

About DBMI

DBMI is a highly collaborative and interdisciplinary department, comprising 45 faculty members and 50 students and postdoctoral fellows. The Department has a diverse research portfolio, focusing on improving the health of the population through information and computational techniques. It supports clinical care and research at New York-Presbyterian Hospital, including a 5-million-patient, 12,000-user electronic health record and various vendor products. DBMI is known for its work in informatics to support clinical care and research, observational studies, medical language processing, and translational bioinformatics.