Clinical Research Associates (CRA)

About the Role The Research Associate will lead research studies, help develop competitive grant proposals, disseminate findings, and mentor students and research personnel. The role provides expertise in biomechanics, motion analysis, computational modeling, and statistics to advance the laboratory's scientific productivity and long-term objectives. What You'll Do

• Lead study design, data collection, and statistical analysis activities for ongoing research projects.
• Serve as a primary scientific contributor to the development and submission of an NIH R01, including generation and analysis of preliminary and pilot data.
• Assist in the preparation, writing, and submission of peer-reviewed manuscripts.
• Spearhead dissemination of research findings through scientific publications, presentations, and reports.
• Collaborate with investigators and research partners to develop innovative research questions and methodologies.
• Maintain compliance with IRB requirements through study documentation, protocol management, continuing reviews, amendments, and report preparation.
• Ensure accurate and complete documentation of research procedures and study records.
• Support adherence to institutional, sponsor, and regulatory requirements for human subjects research.
• Validate and verify research algorithms, analytical methods, and software tools.
• Develop and maintain shared laboratory code, software workflows, and standard operating procedures (SOPs).
• Develop biomechanical and computational models of human joints and musculoskeletal systems.
• Collect, process, and analyze motion capture and related biomechanical datasets.
• Implement and improve data processing pipelines and analytical workflows to support laboratory research objectives.
• Train and mentor students, staff, and trainees in image processing, biomechanical analysis, motion capture methods, and MATLAB-based workflows.
• Provide technical guidance and support on laboratory software, coding practices, and data analysis techniques.
• Promote best practices in data management, reproducible research, and scientific computing.
• Assist in the professional development of undergraduate, graduate, and research personnel.