Lead Musculoskeletal Modeling and Simulation Scientist

International Shoulder Group; United States; Hybrid; USD 85,000 - 110,000; Full time

Job summary

International Shoulder Group is seeking a Lead Musculoskeletal Modeling and Simulation Scientist to join the Joe Gibbs Human Performance Institute team. This role focuses on creating models and conducting research to improve sports performance and reduce injury. Candidates should be open to relocating to Charlotte, North Carolina, for onsite or hybrid arrangements.

Responsibilities include developing kinematic features from motion capture data, collaborating with experts, and publishing research findings. Proficiency in Python and knowledge of biomechanics are required.

Qualifications

• Experience in kinematic and kinetic feature creation from motion capture data.
• Ability to lead model development using biomechanics data.
• Strong research background in musculoskeletal simulation.

Responsibilities

• Create kinematic and kinetic features for sports applications.
• Develop pipelines for musculoskeletal models from biomechanics data.
• Conduct research to optimize human movement and performance.

Skills

Python coding

Biomechanics knowledge

Motion capture experience

Model development skills

Research communication

Tools

OpenSim

Force plates

EMG data analysis

Job description

We are hiring a new role for a lead musculoskeletal modeling and simulation scientist within sports performance and injury at the Joe Gibbs Human Performance Institute (JGHPI). We are particularly interested in those open to relocating to Charlotte, North Carolina, for an onsite or hybrid work setting.

Role Overview

• Creation of kinematic and kinetic features from motion capture and force data for sport‑specific applications (can code in python)
• Lead the development of pipelines for building musculoskeletal models (e.g., in OpenSim) from various biomechanics data sources such as markerless motion capture, force plates, and EMG data.
• Create personalized models derived from MR images to enhance the accuracy and applicability of our simulations.
• Conduct cutting‑edge research in MSK simulation to optimize human movement and performance, including presenting and publishing findings to scientific and lay communities, athletes, coaches, etc.
• Collaborate alongside experts across biomechanics, sports science, machine learning, data science, and more.

Interested candidates can contact me directly at [e-mail] for more information.