Biomechanics Associate (Ph.D.)

About the Role

Exponent is seeking an Associate for its User Sciences Practice in Philadelphia, PA. This role involves working as part of a team to solve challenging, often urgent, high-profile, and multi-disciplinary technical problems for clients. Projects will have applications such as Smart Wearable Devices, Clinical Research for New Devices and Drugs, Data Science, and Exercise Physiology. The role offers the opportunity to define and shape an individual consulting practice based on skills and interests.

Key Responsibilities

• Designing, executing, and managing experiments involving human subjects to quantify and interpret health metrics, wellness characteristics, and performance improvements in various environments.
• Deriving, analyzing, and interpreting complex technology-driven data streams related to human health, wellness, performance, and human-product interactions.
• Using innovative data science approaches to understand or inform health, wellness, and performance outcomes for biomechanical and physiological data streams.
• Researching and reviewing scientific literature and testing, then analyzing and synthesizing technical issues involving performance improvements, mechanisms of injury, clinical trial outcomes, and human movement characteristics.
• Writing proposals to initiate or support new opportunities in the human technology sector.
• Clearly communicating findings via written reports and presentations, synthesizing technical information for technical and non-technical audiences.
• Actively creating and pursuing opportunities to develop a positive workflow within a small team environment.
• Participating in original research, publishing papers in technical journals, and presenting findings at conferences.

Requirements & Tech Stack

• Ph.D. in Biomechanics, Data Science, Bioengineering, Biomedical Engineering, Mechanical Engineering, Kinesiology, or a related field.
• Knowledge and experience in one or more of the following:
• Human physiological health metrics
• Human gait/movement
• IMUs or other wearable/remote technologies
• Data science and AI/ML applications within human subjects data
• Human anatomy and physiology
• Orthopedic biomechanics
• Demonstrated experience in study design and associated statistical analyses.
• Demonstrated experience in data science modelling of human health data.
• Experience in quantifying human health metrics and/or performance metrics.
• Significant experience in computational programming (i.e., Python, MATLAB, R), with an emphasis on signal processing.
• Project work may require travel between test sites.
• Prior experience and expertise in working with large-scale datasets is desirable.
• Effective leadership skills and the ability to interact with a wide variety of professionals.

Qualifications

• Applicants are encouraged to submit a CV with publications.