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Senior Fellow - Scientific AI (Physician)

MCKINSEY & COMPANY, INC. UNITED STATES

Cleveland, OHFellowshipSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Cleveland, OH
Role Type
Fellowship
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

US Medical LicenseDoctorate

Job overview

The Senior Fellow - Scientific AI (Physician) role seeks a physician with oncology expertise and deep knowledge of AI methods and analytical technologies. The candidate will develop solution architecture blueprints, demonstrate innovation at the intersection of AI and oncology, and engage with the external ecosystem through publications, conferences, and academic or industry connections. The role also involves stakeholder management and communicating technical methods to executive audiences.

Skills & qualifications

RequiredNice to have

Skills

OncologyBiomarker-Led Oncology TrialsImmuno-OncologyMechanistic Oncology ModelsClinical EndpointsAI PrinciplesDeep LearningMachine LearningCausal InferenceLarge Language ModelsFoundation ModelsComputer VisionDiffusion ModelsReinforcement LearningKnowledge GraphsSolution ArchitectureInnovationExternal Ecosystem EngagementStakeholder ManagementCommunicationTranslating Technical Methods

Qualifications

Medical Degree (MD)US Medical LicenseCompleted ResidencyOncology AI Innovation Track RecordRecent External Leadership Track RecordDirect Report or Stakeholder Management Experience

Full job description

  • Atlanta - Austin - Boston - Charlotte - Chicago - Cleveland - Columbus - Connecticut - Darien - Dallas - Denver - Detroit Apply Now Apply Later YOUR QUALIFICATIONS AND SKILLS - Must possess a medical degree (MD), licensed to practice in the United States, and have successfully completed a residency program - Proven mastery of fundamental concepts in oncology, as well as being up-to-date on latest ideas and publications, including: Biomarker-led oncology trials; Immuno-oncology; Mechanistic models of oncology; Understanding of the latest developments in oncology; A strong clinical academic network; Deep understanding of clinical endpoints used in clinical trials - Deep understanding of the data sources, AI methods and related analytical technologies, e.g., AI principles, deep learning, machine learning (supervised or unsupervised), causal inference, large language models, foundation models, computer vision, diffusion models, reinforcement learning, and knowledge graphs - Ability to develop new-to-world solution architecture blueprints, and decompose the end-state solution into incremental releases to prove feasibility and deliver value - Track record of innovation at the intersection of AI and oncology - Track record of recent leadership and engagement in the external ecosystem via publications, conference participation, keynote speeches, and connectedness with academia and/or industry - Experience managing direct reports, or a complex network of internal & external stakeholders - Compelling communicator with track record of translating technical methods to non-technical executive stakeholders Apply Now Apply Later Share This Job Equal Opportunity Employment Disclaimer McKinsey & Company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.

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