Biomechanics Associate (Ph.D.)

Exponent Inc.•Philadelphia, PA

19h•Onsite

About The Position

Exponent is seeking an Associate for its Biomechanics Practice in Philadelphia, PA. This role involves working within a team to solve complex technical problems for clients, often under urgent and high-profile circumstances. Projects span areas like Smart Wearable Devices, Clinical Research for New Devices and Drugs, Data Science, and Exercise Physiology. The Associate will have the opportunity to shape their consulting practice based on their skills and interests.

Requirements

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 areas: human physiological health metrics, human gait/movement, IMUs or other wearable/remote technologies, data science and AI/ML applications within the context of 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 in various settings
Significant experience in computational programming (i.e., Python, MATLAB, R), with an emphasis on signal processing
Effective leadership skills and the ability to interact with a wide variety of professionals, including engineers, scientists, managers, attorneys, and administrative staff

Nice To Haves

Prior experience and expertise in working with large-scale datasets is desirable

Responsibilities

Designing, executing, and managing experiments involving human subjects to quantify and interpret explicit health metrics, wellness characteristics, and performance improvements within a variety of environments (clinical, natural, etc.)
Deriving, analyzing, and interpreting a variety of complex technology-driven data streams related to human health, wellness, performance, and human-product interactions in a variety of naturalistic use settings
Using innovative data science approaches to understand or inform health, wellness, and performance outcomes for a broad range of biomechanical and physiological data streams
Researching and reviewing relevant scientific journals, publications, and testing, and then analyzing and synthesizing technical issues involving performance improvements, mechanisms of injury, clinical trial outcomes, and other human movement characteristics
Writing proposals to initiate and/or support new opportunities in the human technology sector (e.g. clinical, military, consumer products, sports)
Clearly communicating findings via written reports and presentations
Demonstrating the ability to synthesize technical information into an easily understood format suitable for presenting to 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 while balancing project work demands