Associate Director, AI/ML & Computational Biomarkers
Core
Senior technical expert designing, developing, and implementing AI/ML algorithms to transform multimodal sensor, wearable, and behavioral data into robust digital measurements and computational biomarkers.
Role type
Senior IC machine-learning engineer (computational biomarkers)
Builds
Production-ready AI/ML algorithms and computational biomarker solutions for digital measurement platforms
Domain
Digital health, wearable technology, multimodal data analysis
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, time-series analysis, signal processing, deep learning, representation learning, algorithm optimization, system architecture, technical leadership, scientific rigor
Preferred skills
Healthcare/biosignals domain expertise, regulated environment experience, scientific publication record
Technologies
Deep learning frameworks, MLOps tools, multimodal data integration platforms
Responsibilities
Design and optimize AI/ML algorithms for multimodal data; lead advanced modeling approaches (deep learning, personalization); establish standards for reproducibility and validation; mentor scientists and engineers; partner with engineering teams for production integration; represent organization in scientific publications and industry discussions
Seniority
Senior, hands-on IC with mentorship responsibilities
