Biomechanics Associate - Digital Health and Data Insights (Ph.D.)

Exponent Inc. • Tampa, FL

92d

About The Position

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges. We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! Key statistics: 950+ Consultants, 640+ Ph.D.s, 90+ Disciplines, 30+ Offices globally.

Requirements

• Ph.D. in Biomechanics, Bioengineering, Biomedical Engineering, Mechanical Engineering, Kinesiology, Movement Science, Physical Therapy, or a related field.
• Presently legally authorized to work in the United States. No immigration sponsorship or processing required.
• Knowledge and experience in one or more of the following areas: human gait/movement, IMUs or other wearable/remote technologies, AI/ML applications within the context of user research testing, human anatomy and physiology, mechanics of biological tissues, orthopedic biomechanics.
• Demonstrated experience in study design and associated statistical analyses.
• Experience in quantifying human motion/performance in various settings.
• Significant experience in computational programming (i.e., Python, MATLAB), 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 and executing human experiments to quantify and interpret explicit health, wellness, and performance characteristics within naturalistic movement environments.
• Researching and reviewing relevant scientific journals, publications, and testing and then analyzing and synthesizing technical biomechanics issues involving kinematics, dynamics, mechanisms of injury, and human tolerance.
• Deriving, analyzing, and interpreting a variety of complex technology-driven data streams related to human health, wellness, and performance, and human-product interactions in a variety of naturalistic use settings.
• Using innovative data analysis approaches to understand or inform health, wellness, and performance outcomes for a broad range of biomechanical and physiological data streams.
• Writing proposals to initiate and/or support new opportunities in the human performance 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.

Benefits

• Access benefits information on our Life@Exponent page.
• 401(k) employer contribution of 7% of base salary.
• Bi-weekly bonuses for high-intensity efforts.
• Annual bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees