Associate Director, Vaccines Global Marketing Engagement

MSD•Rahway, PA

31d•Hybrid

About The Position

Our Digital Human Health (DHH) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Associate Director of Vaccines Global Marketing Engagement will lead development and delivery of data and analytics, generate strategic insights, and assist in addressing key business questions from the Vaccines Global Marketing team to inform current and future pipeline Vaccines asset and portfolio strategies. This role works closely with multiple cross-functional teams, including global marketing, regional marketing, forecasting, market research, digital solutions, clinical, outcomes research, medical affairs, and functions within DHH.

Requirements

Bachelor's degree, preferably in a science or business-related field
5+ years of relevant experience in insights & analytics, strategic planning, advanced analytics, market research, marketing or related roles within the pharmaceutical or biotechnology industry
Ability to work on-site at our North Wales (Upper Gwynedd), Pennsylvania or Rahway, New Jersey office at least 3 days per week
Strong communication skills using effective storytelling grounded on data insights
Comfortable formulating actionable insights and recommendations from commercial analytics into presentations
Deep understanding of Real-world data assets and commercial healthcare data ecosystem
Experience conducting secondary data analytics on large datasets using relevant skills
Relationship-building, problem solving and influencing skills with an ability to collaborate cross-functionally
Biotechnology
Business Data Analytics
Business Decisions
Business Financial Planning
Business Intelligence (BI)
Business Reviews
Database Design
Data-Driven Decision Making
Data Engineering
Data Modeling
Data Science
Data Strategies
Data Visualization
Digital Analytics
Epidemiology
Financial Management
Health Data Analytics
Health Informatics
Life Science
Machine Learning
Actionable Analytics
Actionable Insights
Analytics
Business Administration
Business Analysis
Business Management
Business Planning and Control System (BPCS)
Business Strategies
Commercial Analytics
Communication
Data Analysis
Demand Management
Innovation
Leadership
Outcomes Research
Patient Flow

Nice To Haves

Advanced degree (e.g. MS, PharmD, PhD) preferred
Experience in healthcare datasets, insights, and analytics
Experience in Life Science or consulting industry
Deep knowledge and expertise in the Global Life Sciences Analytics space: US and Ex-US datasets, market research, forecasting, advanced analytics, predictive analytics, competitive intelligence, etc.
Vaccines experience
Competitive Intelligence (CI)
Life Sciences Industry
Predictive Analytics

Responsibilities

Portfolio Analytics: Lead development of commercial data and insights for Global Vaccines portfolio priorities. Conceptualize set of analytics capabilities and tools anchored to our marketing and launch frameworks to support decision making for Global Vaccines portfolio and assets (e.g. market and competitor landscape assessment tools, Immunization eligibilities & vaccine hesitancy factors, benchmark libraries).
Stakeholder Collaboration: Partner with global marketing teams, DHH teams, and other cross-functional teams to drive strategic decisions and increase commercial rigor through all phases of pipeline asset development. Serve as the Insights & Analytics quarterback to address key business questions through digital, data and analytics capabilities.
Strategy Enablement : Lead Strategic Portfolio Reviews, Trimester Business Reviews (QBRs), Prioritization meetings, etc. Synthesize & document key trade-off decisions and DHH aspirations for executive audiences via active updates to ongoing inventory of projects/initiatives (Book of Work).
Analytics Delivery: Proactively manage projects delivery with expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, PowerBI or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation.