Biomechanics Associate: Wearables, Data Science & Health

Exponent Inc.; Philadelphia (Philadelphia County); On-site; USD 105,000 - 145,000; Full time

Job summary

Exponent seeks an Associate in the Biomechanics Practice in Philadelphia, PA. You will work within a multidisciplinary team to tackle urgent, high-profile projects across wearables, clinical research, data science, and exercise physiology.

Ideal candidates hold a Ph.D. in a related field and have experience with human subject studies, data analysis, and wearable tech. You will contribute to research, write proposals, and present findings within a collaborative, growth-focused environment.

Qualifications

• Ph.D. in Biomechanics, Data Science, Bioengineering, Biomedical Engineering, Mechanical Engineering, Kinesiology, or a related field.
• Knowledge in human physiological metrics, gait, wearables, or AI/ML on human data.
• Experience in study design and statistical analyses.
• Data science modelling of health data.
• Experience with large-scale datasets desirable.
• Strong communication and cross-functional collaboration.

Responsibilities

• Design, execute, and manage experiments involving human subjects.
• Analyze complex data streams related to health, wellness, and performance.
• Apply data science methods to biomechanical data for insights.
• Review literature and synthesize technical findings.
• Write proposals to support new opportunities in human tech.
• Communicate findings clearly to technical and non-technical audiences.
• Collaborate in a small team and pursue new opportunities.
• Participate in original research and present at conferences.

Skills

Data science in HS data

Study design

Python programming

MATLAB programming

IMUs wearables

Leadership & collaboration

Education

Ph.D. in Biomechanics or related field

Tools

Python

MATLAB

R

IMUs

Job description

Exponent seeks an Associate in the Biomechanics Practice in Philadelphia, PA. You will work within a multidisciplinary team to tackle urgent, high-profile projects across wearables, clinical research, data science, and exercise physiology.

Ideal candidates hold a Ph.D. in a related field and have experience with human subject studies, data analysis, and wearable tech. You will contribute to research, write proposals, and present findings within a collaborative, growth-focused environment.