✦ Luna Orbit — AI & Machine Learning

Associate Director, Engagement.AI for Medical

at Johnson & Johnson

📍 2 Locations Hybrid 💰 $137K – $235K USD / year Posted April 02, 2026
Salary $137K – $235K USD / year
Type Full-Time
Experience lead
Exp. Years 8+ years
Education Master's degree required; Ph.D. preferred
Category AI & Machine Learning

Associate Director, Engagement.AI for Medical leads analytics and AI/ML initiatives across Johnson & Johnson's Innovative Medicine portfolio, focusing on oncology medical engagement and compliant data-driven insights.

  • Will work with ME.AI Director, Engagement Manager and vendors to design and deploy medical engagement solutions
  • Identify opportunities to improve competitiveness and operational efficiencies
  • Develop measurement framework to evaluate execution and impact
  • Collaborate across medical affairs, data science, IT to shape omnichannel strategies

Deep experience with AI/ML applications in healthcare, EHR/claims data, and real-world evidence generation. Strong ability to design measurement frameworks and collaborate across cross-functional teams to deliver compliant, impactful analytics.

The ideal candidate is an associate director with 8+ years in healthcare analytics or data science, ideally with clinical or pharma experience. They bring strong leadership, experience with healthcare claims and EHR data, hands-on AI/ML capabilities, and the ability to implement compliant, patient-centric analytics across omnichannel medical engagement.

A minimum of 8 years of relevant business experience in healthcareanalyticsdata sciencemanagement consulting or related fieldMaster's degree required; Ph.D. highly preferredExperience with healthcare claimselectronic health records (EHRs)and specialty pharmacy dataHands-on analytics and AI/ML applicationsAbility to interpret predictive model outputs and translate into actionable insightsStrong cross-functional leadership and stakeholder collaborationTravel up to 15% domestically
Experience with real-world evidence generationExperience in oncology portfolio analyticsExperience implementing AI/ML within the pharmaceutical industryHands-on experience with privacy and data confidentiality in healthcare
A minimum of 8 years of healthcare analytics experience; master's degree required; experience with healthcare claimsEHRsand specialty pharmacy data; AI/ML application; cross-functional leadership; ability to interpret predictive models; travel up to 15%
Artificial IntelligenceElectronic Health RecordsHealthcare ClaimsMachine learning techniquesEHRsReal-world evidencedata scienceprivacy and compliance
influencingstakeholder engagementcross-functional leadershipproject managementcommunication
Industry Healthcare & Medical
Job Function Lead end-to-end analytics and AI/ML initiatives for medical engagement in oncology, ensuring compliance and measurable patient impact.
Role Subtype Associate Director
Tech Domains Artificial Intelligence, Electronic Health Records, Healthcare Claims
Associate DirectorEngagement.AI for MedicalEngagement.AImedical engagement solutionsoncology portfoliohealthcare claimselectronic health recordsEHRsspecialty pharmacy datareal-world evidencepatient analyticsAI/MLmachine learningdata scienceprivacycompliancecross-functional leadershipmeasurement frameworkdata setsdata productsoncology

No master's degree or higher, Less than 8 years healthcare/analytics experience, Lack of experience with healthcare claims or EHR data

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