Director – Pharmacometrics AI Lead

MSD

Director of Pharmacometrics AI Lead responsible for shaping AI in quantitative pharmacology workflows. Leading a team in AI-driven drug development innovations with significant decision-making impact.

Posted 7/31/2026full-timeRahway • New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $190,800 - $300,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in pharmacometrics and AI/ML methodologies is essential for driving innovation in pharmaceutical drug development. Proven ability to lead cross-functional collaborations and scale digital solutions from pilot to enterprise deployment is critical.

Highest-signal resume keywords

Ph.D. In Pharmaceutical Drug DevelopmentDeep Hands-On Expertise In Pharmacometric AnalysisLeadership In AI/ML Methods ApplicationExperience In Scaling Digital SolutionsKnowledge Of MIDD Principles And Regulatory Expectations

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Applicant Tracking System Keywords

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Hard Skills

Population PK AnalysisPK/PD AnalysisModel-Based Meta-AnalysisDose-Response AnalysisExposure-Response AnalysisDisease ModelingTrial SimulationOptimal Study DesignStrategic Decision AnalysisAI/ML/NLP Approaches

Soft Skills

CollaborationLeadershipTraining And Upskilling

Industry Keywords

Pharmaceutical Drug DevelopmentPharmacokineticsPharmacologyMIDDEmerging AI/ML Technologies

About the role

Key responsibilities & impact

Identify high-value, scalable use cases that can innovate and accelerate development timelines
Evaluate emerging AI/ML technologies, lead proof-of-concept initiatives, and translate successful pilots into enterprise-scale solutions that deliver real-world value
Participate in our Company's key Enterprise-wide AI/ML efforts as a departmental liaison
Collaborate with QP2 TA Representatives and Pharmacometricians to identify opportunities for AI/ML usage in MIDD
Lead adoption initiatives through training programs and upskilling efforts
Initiate and manage external collaborations which include technology providers, academia, and consortia to develop new AI/ML methodologies

Requirements

What you’ll need

Ph.D. with at least 8 years of experience in pharmaceutical drug development
Educational background in pharmacometrics, mathematics, statistics/biostatistics or a related quantitative discipline
Deep hands-on expertise in pharmacometrics (e.g., population PK and PK/PD analyses, model-based meta-analysis, dose-response and exposure-response analyses, disease modeling, trial simulation, optimal study designs, strategic decision analyses)
Demonstrated leadership in applying AI/ML methods in drug development with at least 2 years of demonstrated examples of utilizing AI/ML/NLP approaches for drug development.
Proven success in scaling digital solutions from pilot to enterprise deployment
Deep knowledge of drug development, pharmacokinetics and pharmacology, MIDD principles, regulatory expectations, and the evolving role of AI/ML in clinical development.

Benefits

Comp & perks

medical, dental, vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days