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Senior Fellow - Scientific AI (Clinical Biostatistician)

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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Job overview

The Senior Fellow will bring clinical biostatistics expertise and scientific AI capabilities to clinical trial design. The role calls for mastery of clinical biostatistics, experience with statistical analysis plans and clinical trial methods, and knowledge of AI and analytical technologies. The candidate will develop solution architecture, demonstrate innovation, engage with the external ecosystem, manage stakeholders or direct reports, and communicate technical methods to executive audiences.

Skills & qualifications

RequiredNice to have

Skills

Clinical BiostatisticsStatistical Analysis PlansClinical Trial SimulationAdaptive Clinical TrialsBayesian Network Meta-AnalysisPlatform Clinical TrialsAI PrinciplesDeep LearningMachine LearningCausal InferenceLarge Language ModelsFoundation ModelsDiffusion ModelsReinforcement LearningKnowledge GraphsSolution ArchitectureInnovationExternal EngagementStakeholder ManagementCommunicationTranslating Technical Methods

Qualifications

PhD in Biostatistics, Statistics, or Related Quantitative Discipline or MD With Strong Biostatistical TrainingTrack Record of InnovationRecent External Ecosystem LeadershipExperience Managing Direct Reports or Stakeholders

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 an advanced degree - PhD in Biostatistics, Statistics, or a closely related quantitative discipline (or an MD with strong biostatistical training) - Proven mastery of fundamental concepts in clinical biostatistics, as well as being up-to-date on latest ideas and publications, including: Deep understanding of developing statistical analysis plans (SAPs) in pharma; Experience of clinical trial simulation; Adaptive clinical trials; Bayesian network meta-analysis; Platform 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, 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 clinical trial design / biostatistics - 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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