Director, Data Science and AI

$185,000 - $210,000/Yr

Global Healthcare It - Los Angeles, CA

Full-time - Senior

Remote - Los Angeles, CA

About the position

The Director, Data Science and AI is responsible for leading the development and implementation of data-driven solutions to enhance healthcare delivery. This role involves overseeing a team of data scientists, engineers, and analysts who utilize advanced analytics and AI techniques to create innovative applications for clinical, operational, and research purposes. The Director collaborates with various stakeholders to identify opportunities and ensure alignment with the organization's strategic goals.

Responsibilities

• 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.
• 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 best practices and standards of data and AI development and delivery.
• Collaborate with clinical, research, and administrative stakeholders to identify high-impact use cases and represent team capabilities.
• Establish repeatable processes, playbooks, standards, and best practices to ensure cumulative value delivery with zero technical debt.
• Communicate and disseminate data and AI insights and results to various audiences, including senior leadership and external partners.
• Drive a culture of innovation and continuous improvement within the team.
• Operate within the data and AI governance framework to ensure ethical, legal, and responsible use of data and AI.

Requirements

• Master's Degree in a related field or relevant bachelor's degree plus 5 additional years of related 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 in a research or healthcare setting.
• Experience in mentoring and supervising data scientists, machine learning engineers, and product/data analysts.
• Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems.
• Experience managing successful collaborations with faculty, CROs, administrators, and clinical leaders.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Ability to navigate and be successful in a fast-paced, highly-matrixed work environment.

Nice-to-haves

• Experience in securing and managing grants and contracts for data science and AI initiatives.
• Proficient in using programming languages and tools such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark.

Benefits

• 401(k)
• Dental insurance
• Health insurance