- Salary
- $72k – $125k/yr
- Location
- San Francisco, California, US
- Type
- Full-time
- Department
- Healthcare
- Seniority
- Lead
- Source
- Y Combinator
Description
Clinical Operations Lead, Health & Performance Data
Fort is the first wearable designed for strength training. It tracks the health and activity metrics expected from a modern wearable, then uses advanced motion sensing to recognize and analyze strength exercises—providing a more complete view of training, progress, and health.
We are hiring a Clinical Operations Lead to work closely with study participants and the engineering team to build and manage our human health and performance data program.
Responsibilities:
- Own study planning, participant operations, and day-to-day lab execution
- Represent company to customers, study participants, and event guests
- Develop and maintain study protocols, consent processes, and operating procedures
- Recruit, schedule, and guide participants through study sessions
- Manage data collection tools such as wearable sensors, cameras, and other study equipment
- Ensure quantitative and qualitative data from studies are high-quality and reliable
- Hire, train, and oversee technicians as the program grows
- Coordinate with engineering and machine learning teams on study design and data requirements
- Maintain participant privacy and compliance with consent, retention and data-handling requirements
- Improve study throughput without compromising participant experience or data quality
Qualifications:
- Experience managing human-subject research, clinical operations, or structured data collection
- Strong operational judgment and attention to detail
- Excellent participant-facing and cross-functional communication
- Ability to translate research goals into repeatable operating procedures
- Comfortable with strength-training equipment and demonstrating exercise techniques
- Available for regular in-person work in San Francisco
Experience in exercise science, kinesiology, biomechanics, physical therapy, clinical research, or wearable-device studies is preferred.