Lead Director, Data Science – Clinical AI

Posted Aug 18

This is a fully remote position, open to applicants in Connecticut, +4 more states.

πŸ“‹ Description

β€’ Establish the AI strategy and technical objectives for the clinical AI portfolio in collaboration with product and engineering teams.

β€’ Set benchmarks for clinical AI capabilities in production and assess progress against these standards.

β€’ Collaborate on shaping the technical direction of the portfolio and address cross-disciplinary trade-offs.

β€’ Ensure that clinical AI capabilities seamlessly integrate with the overall clinical intelligence platform.

β€’ Convert CVS Health and regulatory requirements into engineering and modeling practices.

β€’ Promote the use of advanced AI and machine learning technologies, such as large language models and generative AI, on clinical data.

β€’ Elevate standards for model evaluation, monitoring, and clinical validation processes.

β€’ Enhance production AI in terms of cost, latency, reliability, and scalability.

β€’ Advocate for reusable model patterns, evaluation frameworks, and broadly applicable methodologies.

β€’ Provide direct management and development for data scientists across portfolio squads.

β€’ Recruit, mentor, and retain clinical AI talent while fostering the growth of senior technical leaders.


⛳️ Requirements

β€’ Over 10 years of experience in analytics, data science, or applied AI.

β€’ Practical experience in developing and implementing machine learning and deep learning solutions.

β€’ Familiarity with natural language processing, large language models, and generative AI.

β€’ More than 5 years of experience in setting AI/ML technical direction across various teams.

β€’ At least 5 years of experience in people management, including hiring, training, and retaining technical teams.

β€’ Proven experience delivering healthcare AI or analytics capabilities to production at an enterprise scale.

β€’ Experience with clinical, claims, or member data.

β€’ Production ML experience that includes model evaluation, monitoring, lifecycle management, and trade-offs in cost, latency, reliability, and scalability.

β€’ Knowledge of operating under healthcare AI regulatory frameworks and responsible AI constraints, including HIPAA, NCQA, or equivalent standards, along with AI governance guidelines.

β€’ Proficiency in Python and SQL.

β€’ Excellent communication and collaboration skills with senior product, engineering, and executive stakeholders.

β€’ Bachelor's degree or equivalent experience in a relevant field.

β€’ A Master's degree or higher is preferred.


🏝️ Benefits

β€’ CVS Health bonus, commission, or short-term incentive program.

β€’ Equity award program.

β€’ Medical coverage.

β€’ Dental coverage.

β€’ Vision coverage.

β€’ Paid time off.

β€’ Retirement savings options.

β€’ Wellness programs.

β€’ Additional resources supporting physical, emotional, and financial well-being.

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