UNIV - Statistical Research Analyst I - Sports Medicine - Department of Orthopaedics

About the position

As a research analyst, a prospective medical student will be exposed to the clinical, operative, and academic side of medicine. While experiencing the field of sports medicine hands-on, the analyst will assist our sports medicine physicians in continuing their extensive research being conducted for the field as a whole, while also providing care to their patients - whether in the clinic or the operating room.

Responsibilities

• Supporting physicians with ongoing studies, projects, videos, papers and presentations.
• Give guidance and support for Orthopaedic residents on ongoing orthopaedic studies.
• Drafting Institutional Review Board documentation for research studies.
• Drafting of protocols for new research studies with the guidance of supporting physicians.
• Drafting grant proposals for internal and extramural funding announcements.
• Completing data analysis and manuscript preparation for scientific publication.
• Completing corrections and suggestions from scientific publication editors.
• Recruiting patients and collecting data for research studies.
• Attend clinic with supporting physicians and program coordinator to help consent study candidates and collect study data.
• Gathering patient images, X-rays, as well as operative and clinical notes and videos.
• Attend surgery cases to video cases at the direction of the surgeon.
• Upload CT scans for software preparation for Total Shoulder Arthroplasty cases.
• Assembling surgeon’s presentations and case reports.
• Create and submit presentations for Orthopaedics organizations.
• Prepare information for supporting surgeons’ cases for presentation at weekly shoulder conference.

Requirements

• A high school diploma and two years clerical or paraprofessional experience involving the compilation of data and statistics.
• A bachelor's degree may be substituted for the required work experience.
• Strong academic record.
• Creative, self-driven, reliable, and motivated to learn.
• Previously involved in clinical or basic research.
• Demonstrated interest in academic medicine.
• Some experience with data management preferred, although not required.