Head of Science (Algorithms and Causal Health Intelligence)

Luna Ring builds wearable technology that translates body signals into actionable health insights through its LifeOS platform. The Head of Science will lead causal inference and physiological signal algorithm development, establish validation standards, guide clinical studies and regulatory considerations, and build a high-performing science and algorithms team.

Responsibilities:

• Own the science of LifeOS: the causal and correlational engine that turns wearable, behavioural and context data into recommendations that measurably move a health outcome
• Design and run causal inference methods for noisy, observational, individual-level (N-of-1) data, and know where the data cannot support a claim
• Lead algorithm development across the company: heart rate, HRV, sleep, activity, recovery and derived scores from PPG and motion signals
• Set one validation standard: reference-based accuracy testing (ECG, PSG, lab), benchmark datasets, release gates and regression tracking, so accuracy is measured and tracked, not argued
• Design and run validation studies and clinical protocols, including ethics approvals, and publish where it builds credibility
• Work with firmware, app, data and product teams so algorithms move from research to production reliably
• Define how we test whether an actionable works: experiments, interventions and outcome measures
• Track regulatory boundaries (wellness versus medical claims) and shape what we can say about our features
• Hire, mentor and raise the bar for the science and algorithms team