RESPONSIBILITIES:
Lead the design and governance of clinical escalation logic, including defining biometric trigger thresholds, baseline deviation rules, trajectory detection logic, and multi-metric corroboration frameworks. Translate clinical evidence and physiological principles into product specifications, decision trees, and algorithm requirements in partnership with Data Science and Product teams. Conduct structured literature reviews and evidence synthesis to justify signal thresholds, escalation frameworks, and AI safety boundaries. Define signal confidence standards, including acceptable false positive and false negative trade-offs, and partner with Data Science to evaluate real-world performance. Establish AI clinical guardrails by defining what AI systems can and cannot communicate in health contexts, including escalation triggers, safety boundaries, and response constraints. Design and document escalation governance frameworks to ensure explainability, defensibility, and regulatory alignment. Partner with Product to shape member-facing language and escalation UX, preserving wellness positioning while ensuring clarity and trust. Collaborate with Regulatory and Quality teams to ensure clinical logic is appropriately framed within wellness and safety boundaries. Contribute to the development of SOPs, documentation frameworks, and scalable clinical product processes within WHOOP’s Digital Health organization.
QUALIFICATIONS:
Bachelor’s degree in Medicine, Life Sciences, Biomedical Sciences, Public Health, or related field required. Advanced clinical degree (MD, PA, NP, PharmD, PhD, or equivalent) strongly preferred. 5+ years of experience in digital health, clinical product management, medical devices, clinical research, or related health technology roles. Demonstrated experience translating clinical evidence into product logic, thresholds, or decision-support systems. Strong understanding of physiological measurement, signal validation, sensitivity/specificity trade-offs, and measurement error concepts. Experience working cross-functionally with Data Science, Engineering, Product, and Regulatory teams. Familiarity with GCP, FDA, ICH, or medical device regulatory frameworks relevant to digital health or SaMD. Ability to operate in ambiguity, make structured trade-offs, and communicate clinical reasoning clearly to technical and executive stakeholders. Experience working with wearable devices, digital biomarkers, or remote monitoring technologies preferred. Experience designing decision-support frameworks preferred. Experience supporting AI-enabled health products, including defining safety guardrails and escalation pathways preferred. Experience in regulated medical device environments or Software as a Medical Device (SaMD) programs preferred.