Exciting Clinical Research Fellowship Opportunity in Orthopedic Spine Surgery
Dr. Zeeshan Sardar, in collaboration with the National Spine Health Foundation (NSHF), is seeking a highly motivated 3rd/4th year medical student for a prestigious year-long clinical research fellowship in orthopedic spine surgery. This is a unique opportunity to gain hands-on experience in cutting-edge research while significantly enhancing your competitiveness for the residency match.
Applicants can be Columbia University or Non-Columbia University medical students/graduates who are interested in spending a year of orthopedic spine research.
Potential clinical research fellows from external programs must have proof of enrollment throughout the duration of the visit in a non-Columbia University degree program, either at the undergraduate or graduate level. External applicants must also have proof of housing in New York at no cost to the student (e.g., a written letter signed by a family member/friend confirming they are living in the same household).
Why Apply?
- 10+ submissions (abstracts and manuscripts) expected by the end of the fellowship
- Collaborate with renowned orthopedic and neurological spine surgeons, fellows, and residents
- Gain exposure to spinal deformity surgery, frailty, bone health, and fall prevention research
- Opportunities to observe surgical procedures, participate in industry sponsored cadaveric surgical skills labs, attend Grand Rounds, Spine Conferences, and Journal Clubs
- Present research at national and international conferences
- Collaborate with the Research Institute at the National Spine Health Foundation, the only patient-centered nonprofit organization dedicated to improving spinal healthcare through education, research, and advocacy.
- Coordinate and collect data for high-impact research projects
- Perform statistical analysis and submit IRB protocols
- Prepare abstracts, manuscripts, and conference presentations
- Highly motivated future orthopedic surgeon with a passion for research
- Organized, detail-oriented, and self-managed individual
- Strong academic record and familiarity with statistical software (a plus!)