Director, Data Science and AI (Remote)
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Director, Data Science and AI (Remote)
We have an immediate need for a direct hire Director, Data Science and AI to join a world-class academic medical center. The Director, Data Science and AI is responsible for leading the cutting-edge development and implementation of data-driven solutions that enhance the quality, efficiency, and value of healthcare delivery at the medical center.
Location: Los Angeles, CA (Remote)
This job expects to pay about $195,000 – 218,000 annually plus benefits.
What You Will Do:
- Define and own the standard of excellence for data science, machine learning, and AI.
- Lead the data science and AI team to design, develop, and implement innovative solutions that leverage data and advanced analytics to improve health outcomes, quality of care, and operational efficiency.
- Collaborate and establish partnerships with clinical, research, and administrative stakeholders to represent team capabilities/aspirations and identify high-impact use cases.
- Manage the end-to-end lifecycle of data and AI projects, including data acquisition, preprocessing, modeling, validation, deployment, monitoring, and maintenance.
- Provide technical guidance and mentorship to data scientists, engineers, and product/data analysts on the best practices and standards of data and AI development and delivery.
- Operate within the data and AI governance framework to ensure ethical, legal, and responsible use of data and AI across the organization.
What Gets You The Job:
- Master’s Degree in related field highly preferred OR relevant bachelor’s degree plus 5 years of experience
- Minimum of 5 years of experience in leading and managing data and analytics teams with at least 3 years managing data science and AI projects or teams in a research or healthcare setting
- Experience in mentoring and supervising data scientists, machine learning engineers, and product/data analysts
- Experience managing successful collaborations with faculty, CROs, administrators, clinical leaders, and other external organizations
- Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale.
- Demonstrated expertise in managing the entire AI/ML lifecycle, from ideation, data acquisition and model training, to production deployment and monitoring, including developing scalable AI/ML CI/CD solutions.
- Experience in securing and managing grants and contracts for data science and AI initiatives, as well as adhering to ethical and regulatory standards for data privacy and security preferred
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