Associate Director, Market Engagement - Vaccines & ID (flu)

MSD•Rahway, PA

9d•Hybrid

About The Position

The Associate Director, Market Engagement – Vaccines & ID (Flu) works within the DHH Integrated Vaccines & Infectious Disease Team in the US/global commercial organization. The team provides strategic partnership to commercial stakeholders, manages analytics demand, and activates data and services to support data-driven decisions across the vaccine portfolio. This individual develops and communicates US and ex-US data-driven insights to deepen customer and market understanding, inform launch and go-to-market strategies, and support the growth and commercial objectives of a planned influenza prophylactic product. The role serves as a business-facing analytics partner to US and global influenza marketing teams, helping scope, design, and deliver analytics use cases aligned with business objectives and OKRs. The position combines commercial analytics partnership with collaboration across data science, engineering, and other teams. The Associate Director translates complex business questions into analytical problems, recommends suitable methods, and supports the development and refinement of AI, machine learning, NLP, and Agentic AI solutions. The role is an individual-contributor position in a matrixed environment and calls for leadership, curiosity, adaptability, and strong communication and storytelling skills. The position is based in Upper Gwynedd, Pennsylvania, and is hybrid. The selected candidate is expected to work in the office at least three days per week. Travel requirements are 10%.

Requirements

Bachelor’s degree or equivalent in data science, mathematics, economics, computer science, statistics, decision science, marketing, engineering, public health, or a related listed field.
At least 5 years of analytics or data science experience in pharma, biotech, or healthcare.
Demonstrated application of advanced statistics, AI, machine learning, NLP, and Agentic AI to commercial business problems.
Proficiency in Python, R Studio, SAS, SQL, or similar tools for data extraction, feature engineering, and model development.
Strong experience with patient-level and healthcare data, including claims, EMR/EHR, registry, CDC, IQVIA, and other secondary sources.
Ability to translate business needs into structured analytical questions and data-driven recommendations.
Experience supporting products across their lifecycle, including development, launch, growth, maturity, and end of life.
Strong communication and data storytelling skills, including presenting complex findings to senior and non-technical audiences.
Stakeholder management and influence skills in a matrixed, cross-functional environment.
Project and time management capabilities, including managing multiple concurrent analytics initiatives and teams.
Self-directed, adaptable, curious, and forward-thinking about AI adoption, advanced analytics, and evolving healthcare data.
Ability to connect technical partners and coordinate collaboration across DHH cross-functional teams.

Nice To Haves

MBA, MS, or PhD degree.
Vaccines experience or knowledge of the vaccines business.
Hands-on experience with healthcare data, especially EMR/EHR, claims, and IQVIA data offerings.
Knowledge of global life sciences analytics, including ex-US datasets, market research, forecasting support, desk-research triangulation, advanced analytics, global market analogs, and competitive intelligence.

Responsibilities

Partner with US and global marketing teams, aligning analyses and insights with brand and portfolio priorities and OKRs.
Work with business stakeholders to understand key questions, clarify objectives, and translate them into well-defined analytical use cases.
Ensure analyses are delivered with high quality, on time, in compliance, and with a strong user experience; keep clients informed of progress.
Support prioritization and scoping by understanding business demand, requests, and potential use cases.
Analyze claims, EMR/EHR, CDC, IQVIA, digital, CRM, and other data to develop actionable commercial insights and recommendations.
Recommend appropriate analytical approaches and AI, machine learning, NLP, and modeling techniques, including explaining methods and trade-offs.
Collaborate with data scientists, engineers, and onshore and offshore DHH teams to deliver solutions that address business questions with appropriate data, methods, and insights.
Support the design, development, and refinement of AI, machine learning, NLP, and Agentic AI solutions by providing business context, requirements, and feedback.
Synthesize findings into concise narratives and visualizations, and present insights to support data-driven decisions.
Stay informed about vaccine market dynamics and advances in analytics, AI, and machine learning, and bring forward ideas to enhance organizational analytical capabilities.