Senior Manager, Applied Science
Core
Lead a team of Applied Scientists to develop, evaluate, and deploy machine learning models that automate and augment complex clinical and administrative workflows, specifically focusing on prior authorization and clinical decision-making.
Role type
Senior Manager, Applied Science (Player-coach)
Builds
Production ML models and intelligent systems for healthcare workflows
Domain
Healthcare / Clinical AI / Prior Authorization
Deliverable
production ML models
Required skills
Machine learning, Data science, Applied AI, Statistical methods, Experimental design, Model evaluation, Python, ML frameworks (PyTorch, scikit-learn), AWS, Team leadership, Technical strategy
Preferred skills
Modern language models (LLMs), Classical ML techniques, Transactional healthcare experience, Process automation in healthcare, Retrieval and relational extraction techniques
Responsibilities
Lead and mentor a team of Applied Scientists, Translate healthcare business problems into scalable ML solutions, Validate solutions with statistical rigor, Partner with AI Engineering to scale solutions, Collaborate cross-functionally with Clinical Operations and Product teams, Contribute to recruiting and team development
Seniority
Senior Manager, hands-on technical leadership
