Manager, Engineering Sciences - BioMechanics

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From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat.

• Design and develop analytical pipelines for acquisition, synchronization, fusion, processing, and analysis of multimodal wearable and biomechanical sensor data.
• Collect, process, analyze, and interpret biomechanical and physiological data from both laboratory and real-world study environments as they pertain to human gait and locomotion, motor control, and predictive musculoskeletal and human movement modeling.
• Develop algorithms, software tools, and analytical workflows for wearable sensor and biomechanics applications.
• Work extensively with wearable sensing modalities including:
• inertial measurement units (IMUs)
• photoplethysmography (PPG)
• galvanic skin response (GSR/EDA)
• electromyography (EMG)
• wearable force and pressure sensing systems
• flexible and emerging wearable sensor technologies
• Apply signal processing, sensor fusion, statistical modeling, and AI/ML methodologies to derive meaningful insights from complex multimodal datasets.
• Develop and apply machine learning and AI approaches including:
• predictive analytics
• classification and pattern recognition
• anomaly detection
• time-series analytics
• human activity recognition
• computer vision and movement tracking
• Support development and validation of wearable sensing technologies and associated algorithms against laboratory-based gold-standard systems.
• Develop technical reports, visualizations, dashboards, and presentations to communicate analytical findings and study outcomes.
• Collaborate closely with multidisciplinary teams including engineers, data scientists, clinicians, researchers, and product development teams.
• Contribute to technical publications and client‑facing technical activities as appropriate.

• Ph.D. in Biomechanics, Biomedical Engineering, Mechanical Engineering, Kinesiology, Bioengineering, Data Science, Electrical Engineering, or a related technical discipline.
• Strong background in biomechanics, human movement analysis, signal processing, and advanced data analytics.
• Experience working with wearable biomechanical, physiological, and integrated clinical sensing technologies.
• Experience developing analytical pipelines, algorithms, or software tools for integrated wearable and laboratory-based sensor data processing and analysis.
• Strong understanding of multimodal wearable sensing technologies and associated signal characteristics.
• Experience conducting or supporting human‑subject/participant studies.
• Experience processing and analyzing large‑scale time‑series datasets generated from diverse sensing systems.
• Experience applying statistical analysis, machine learning, or AI methodologies to biomechanics, physiological monitoring, or other human movement datasets.
• Strong programming and scientific computing skills using Python, MATLAB, R, and/or C/C++.
• Strong written and verbal communication skills.

Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Secretariat is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We offer competitive compensation and benefits, and we support the continuing professional development of our employees.