Senior Director, AI Operations and Services

About the role

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

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

Requirements

• The position requires a PhD in a STEM field, with 15+ years of relevant professional experience, including 5+ years in a biomedical or healthcare setting, and 10+ years of direct people management experience. An advanced degree may substitute for some professional experience (master’s for 1 year; PhD for 3 years).

Qualifications

• 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. Able to build relationships with top graduate programs in the Boston area to develop talent pipelines
• 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. Thinks and acts consistently with a broader “we” mentality, i.e., what’s best for DFCI as a whole vs. self, “my team,” or “my group,” or “my department”

Skills

• 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. Able to build relationships with top graduate programs in the Boston area to develop talent pipelines
• 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. Thinks and acts consistently with a broader “we” mentality, i.e., what’s best for DFCI as a whole vs. self, “my team,” or “my group,” or “my department”

Benefits

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Pay

$243,000.00 - $257,400.00 per year

Schedule

Remote: 100% off site

Contact

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