Note: The job is a remote job and is open to candidates in USA. Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. They are seeking a Senior Director of AI Operations and Data Science Services who will oversee the design and management of AI-related tools and services, lead a team of 20-35 FTEs, and collaborate with other leaders to deliver impactful AI solutions across the organization.
Responsibilities
- Serves as the primary subject matter expert for AI technology, platforms, and services for the of department and Institute
- Responsible for architecting, building, and configuring Dana-Farber’s operational AI tools and platforms
- Collaboratively develops institutional AI strategy in partnership with Research, Clinical, and Operational leaders
- Technical “horizontal” leader within I&A for AI and data science use cases in Operations, Clinical Practice, and Research in partnership with the 3 “vertical” client-facing leaders
- Manages $5M+ of contracts and personnel resources (e.g, Snowflake, Databricks, John Snow Labs, Informatics Core Services, Azure, Onyx)
- Core Member of the Dana-Farber AI Governance Committee
- Develops Institute AI policies and guidance for validation, testing, deployment, and monitoring of clinical artificial intelligence tools/models in partnership with the CIO, CQO, CDAO, General Counsel, and AI Governance Committee. Helps DFCI responds to regulatory guidelines from federal and state agencies
- Delivers $2-5M in annual value from AI initiatives in partnership with I&A client-facing verticals
- Responsible for building the AI infrastructure necessary to support the $40M+ federated AI research collaboration known as the Cancer AI Alliance, in partnership with other technical leaders and architects at Memorial Sloan Kettering, Fred Hutch Cancer Center, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, and Dana-Farber
- Keeps abreast of AI & data science strategies in other academic medical centers. Represents Dana-Farber in conversations with AI leaders from other Cancer Centers and with AI/cloud vendors (e.g., Microsoft, Amazon, Google Cloud, NVIDIA)
- Responsible for developing and maintaining direct productive relationships with VPs and SVPs, including the CIO, Chief Counsel, CQO, CMIO, VP Enterprise Data & Analytics, and VP Research Informatics Operations
- Interacts directly with research faculty to provide AI operations and data science services through the Informatics Core. Represents all Informatics & Analytics capabilities to these clients
- Budget responsibility $5-10M. Acts as a responsible steward of DFCI and I&A financial resources. Responsible for managing an AI and data-science core services team in support of DFCI research labs, which includes negotiation of service level agreements, and careful budget management
- Helps Dana-Farber develop and advance our culture of measurement and learning, by partnering with the CQO, CMIO, research leaders, and others to design and implement quality-improvement trials, randomization within the medical record, and other real-world observational learning to improve the outcomes and experience of patients and providers
Skills
- PhD in a STEM field
- 15+ years of relevant professional experience
- 5+ years in a biomedical or healthcare setting
- 10+ years of direct people management experience
- Expert in the application of AI, data science, and machine learning in research and healthcare environments
- Machine Learning & Deep Learning: Expertise in supervised and unsupervised learning, neural networks, NLP and LLM models for healthcare applications like predictive analytics, imaging, pathology, and clinical decision support
- Proficient in AI Frameworks & Cloud Services, able to configure and deploy secure, scalable, HIPAA-compliant AI solutions in commercial cloud vendors (e.g., Azure, Google Cloud) and in on-premises high-performance computing environments
- MLOps: Expertise in managing the model lifecycle (training, deployment, monitoring), using Kubernetes and orchestration systems as well as tools like MLFlow for assuring the reproducibility of computational research while ensuring compliance with relevant regulation (e.g., HIPAA) and applicable policies
- Experience with software licensing, copyright law, and patents
- Experience designing and deploying scalable AI systems for healthcare, preferably including radiology, digital pathology, medical text, audio recordings, claims data
- Experience using common healthcare data standards (e.g., DICOM, OMOP, FHIR, HL7)
- Experience collaboratively developing AI strategy for an organization, preferably healthcare
- Experience leading multi-disciplinary teams (ML & data scientists, AI scientists & engineers, data engineers, prompt engineers, clinicians) to collaboratively deliver high-impact business initiatives
- Proven record of hiring top technical talent and ensuring growth and job satisfaction of team members
- Proficient in guiding and supporting career development and performance management, and developing new leaders
- Strong publication record in AI and biomedicine
- Experience developing AI policy and guidance for an institution, and ensuring deployed AI models meet scientific and safety standards, comply with healthcare regulations, and make a measurable difference
- Experience in turning AI models into consumable healthcare products and services, such as diagnostic tools or clinical decision support systems
- Clinical Collaboration: experience partnering with clinicians and other healthcare professionals to ensure AI tools address real-world challenges and are validated for practical use in clinical settings
- Strong client service orientation with excellent interpersonal skills; able to interact effectively with all levels of staff and external contacts
- Presents results persuasively and accurately verbally or in writing, and in delivering good or bad news
- Collaborates effectively across the enterprise. Skillfully influences stakeholders to ask better questions and sharpen focus on analyses that will have the highest and broadest impact for DFCI
- Demonstrates self-awareness, professionalism, agility and flexibility, a strong work ethic, appropriate humility, and the ability to lead through challenging situations
Benefits
- Remote: 100% off site
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