CLASSIFICATION: This is a full-time, year-round, exempt position with benefits. Hiring range: $80,000 - $105,000

The position requires U.S. work authorization.  For this position we are not hiring International students (non-US citizens or permanent residents), sponsoring work visas or hiring someone who is temporarily authorized to work for a defined period in their field of study (e.g. for a job/internship).


  • Collaborate with surgeons and scientists to lead data registry research projects investigating patient-centered outcomes following surgery. 
  • Organize and lead a diverse team of contributors to successfully execute projects.
  • Oversee clinical outcomes data registry collection methods, execution, organization, and quality control.
  • Develop research questions and study methods, compile data and perform analysis to address hypotheses. 
  • Submit and maintain IRB applications and ensure protocol compliance throughout the project life cycle. 
  • Manuscript preparation, submission, and follow-through during peer-review process.
  • Write abstracts, prepare podium and poster presentations for society meetings.
  • Write funding applications (industry, foundation, federal/state).
  • Conduct other categories of research - systematic reviews/meta-analysis, surgical technique papers, collaborations with other SPRI departments and extramural teams including USOPC.
  • Successfully manage multiple deadlines for numerous ongoing projects.
  • Contribute to ongoing research with DOD, NIH, and IOC funded projects SPRI departments and extramural teams including USOPC.

Job Requirements:

  • Master’s degree in related field required (public health, epidemiology, medical science, statistics, or data analytics, etc.).
  • Preferred: PhD and/or 2+ years related research experience with practical applied knowledge of research principles.
  • Aptitude with data management and statistical analysis. 
  • Preferred: Prior experience with Structured Query Language (SQL) and at least one statistical software package (e.g., R, SPSS, SAS, etc.). 
  • Demonstrated proficiency in scientific methods, orthopaedic terminology, experimental design, and data collection principles.
  • Ability to handle confidential / sensitive information, and exercise good professional judgement.