(Remote) Director, Data Science and AI (Full Time Employment)

• Director, Data Science and AI
• Salary Range: $195k - $218k (exempt)
• Remote OK; Local candidates preferred (LOS ANGELES)

We are seeking qualified candidates who are authorized to work in the United States on a full-time basis. Unfortunately, at this time, we are unable to sponsor employment visas.

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. The Director oversees a team of data scientists, engineers, and analysts who leverage advanced analytics, machine learning, natural language processing, computer vision, and other AI techniques to create innovative applications and tools for clinical, operational, and research purposes. The Director collaborates with stakeholders across the organization to identify opportunities, define requirements, oversee projects, and ensure alignment with the strategic goals and mission.

Minimum Education/Experience:

1) Master’s Degree in related field highly preferred OR relevant bachelor's degree plus 5 additional years of related experience

2) 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

3) Experience in mentoring and supervising data scientists, machine learning engineers, and product/data analysts

4) Experience managing successful collaborations with faculty, CROs, administrators, clinical leaders, and other external organizations

5) 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.

6) 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.

7) Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences, such as clinicians, researchers, administrators, or faculty.

8) Ability to interact and communicate effectively with senior executive teams.

9) Demonstrated ability to lead and influence experienced professionals.

10) Ability to think critically, creatively, and to anticipate and solve problems.

11) Ability to navigate and be successful in a fast-paced, highly-matrixed work environment

12) 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

13) Proficient in using various programming languages and tools for data analysis and machine learning, such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark preferred

Accountabilities:

1) Define and own the standard of excellence for data science, machine learning, and AI.

2) 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.

3) Collaborate and establish partnerships with clinical, research, and administrative stakeholders to represent team capabilities/aspirations and identify high-impact use cases.

4) Manage the end-to-end lifecycle of data and AI projects, including data acquisition, preprocessing, modeling, validation, deployment, monitoring, and maintenance.