Associate Director – Portfolio AI Activation

MSD

. Lead advanced analytics and data science projects addressing priority brand and marketing questions, including HCP targeting, customer segmentation, tiering, and promotional response .

Posted 10/21/2026full-timeUnited StatesSenior💰 $156,900 - $247,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics and data science within the pharmaceutical sector, leveraging machine learning and statistical models to drive marketing insights and strategic decision-making. Proficient in translating complex data analyses into actionable recommendations while ensuring compliance with data privacy and governance standards.

Highest-signal resume keywords

Machine Learning ExpertisePharmaceutical Commercial Data KnowledgeProficiency in Python, SQL, and RProject Management SkillsPeople Leadership Experience

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingPredictive ModelingData AnalysisData VisualizationData EngineeringDatabase DesignData ModelingAI ApplicationCommercial Analytics

Soft Skills

AdaptabilityResilienceStakeholder Relationship ManagementCross-Functional CollaborationCommunication

Tools & Technologies

DatabricksDataikuCRM SystemsBusiness Intelligence (BI) ToolsData Analytics Platforms

Certifications & Qualifications

Master's Degree in Data SciencePhD in Related Quantitative Discipline

Industry Keywords

PharmaceuticalHealthcareMarketing AnalyticsHCP TargetingCustomer SegmentationPromotional ResponseMarket AccessLaunch ReadinessPatient Opportunity SizingCompliance Standards

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead advanced analytics and data science projects addressing priority brand and marketing questions, including HCP targeting, customer segmentation, tiering, and promotional response
Drive launch readiness for new products and indications through market and patient opportunity sizing, HCP universe definition and targeting, and early launch performance tracking
Develop and apply machine learning and statistical models, including predictive, propensity, clustering, response, forecasting, and causal inference models, using pharmaceutical commercial data
Translate analytic outputs into decision-ready insights and recommendations for brand leadership, marketing, and field teams
Partner with brand, marketing, ME, and sales planning teams to frame business questions, define success metrics, and measure commercial initiative impact
Serve as a subject-matter expert on pharmaceutical commercial data sources and their appropriate use
Identify AI opportunities grounded in business needs and support targeted AI pilots
Contribute business context and data expertise to DHH-wide AI initiatives, bridging brand and technical teams
Ensure analytics and AI work meets data privacy, compliance, and governance standards
Build data and AI literacy across commercial teams
Lead cross-functional teams, global collaborators, and external partners
Manage project scope and balance strategic vision with operational execution

Requirements

What you’ll need

5+ years of experience in pharmaceutical or healthcare commercial analytics, marketing analytics, or data science
Proven record of supporting brand and marketing teams
Strong expertise in machine learning and statistics applied to commercial questions such as HCP targeting, segmentation, predictive modeling, and promotional impact measurement
Deep knowledge of pharmaceutical commercial data, including claims, prescription and sales, CRM, and HCP- and patient-level data
Knowledge of the commercial model, including brand, launch, market access, and field force
Proficiency in Python, SQL, and/or R
Proficiency in data and analytics platforms such as Databricks or Dataiku
Hands-on experience applying AI, including generative AI or LLM-based tools, to analytics workflows
Ability to translate complex analyses into clear, decision-ready recommendations influencing senior leaders
Ability to align brand, ME, and cross-functional stakeholders, drive adoption, and manage scope
People and/or matrix leadership experience, including leading cross-functional teams, global collaborators, and external partners
Strong project management skills; resilience and adaptability
Master's degree or PhD in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Engineering, Public Health, or a related quantitative discipline is required
Knowledge of Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software Development, Stakeholder Relationship Management, and Waterfall Model
US and Puerto Rico residents only

Benefits

Comp & perks

Annual bonus and long-term incentive, if applicable
Medical, dental, vision healthcare and other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days
Hybrid work arrangement