Division of Shoulder and Elbow Surgery Research Assistant

Division of Shoulder and Elbow Surgery Research Assistant

The Division of Shoulder and Elbow Surgery at the Warren Alpert Medical School of Brown University invites medical students between third and fourth year, graduated medical students and undergraduate/graduate students to apply for a paid clinical research fellowship, beginning July 1, 2022 (earlier start may be possible depending upon circumstances).

The research assistant works under the supervision of Drs Andrew Green and Dr E Scott Paxton.  and serves as the point person for the clinical research activities of the Division.  In addition, the research assistant works other attending surgeons in the Division, the Department’s clinical research coordinator, the Department statistician, the Investigational Review Board, the shoulder and elbow fellow, orthopaedic surgery residents and Brown Medical Students.  The research interests focus on outcome evaluation and assessment of conditions of the shoulder and elbow.

There is also ample opportunity to gain exposure to clinical orthopaedic surgery in the office clinic and operating room.  This position can be tailored to suit the goals of the individual.  A one or two (preferred) year commitment is expected. This is a full-time paid position.  Exceptional interpersonal skills and writing ability are necessary.  Experience with statistics is highly preferred.

Brown University is located in Providence, Rhode Island which is a vibrant, small city on the coast of New England and is an extremely liveable and enjoyable location. 

Research Duties: 

Prepare manuscripts, textbook chapters, posters, presentations, and educational videos

Organize research meeting, seminars, journal clubs, symposia, and professional society meetings

Provide research study education to participants as part of a study protocol (includes calling patients)

Develop research studies and designs

Compose/Submit research protocols, IRB documents and proposals

Collecting, organizing and analyzing collected clinical data (skills: Excel, RedCap etc)

Advanced working knowledge of Microsoft Office Suite, preferably Excel, and Powerpoint

Submission Items: 

Interested applicants should submit an application to Andrew Green, MD, (This email address is being protected from spambots. You need JavaScript enabled to view it.) and should include: 

Cover letter/ brief statement of interest

At least one letter of reference from an academic mentor

CV (include MCAT, Step 1 score and Step 2 score if available)