Associate Director – Business Insights & Analytics, US Oncology, Digital Human Health

Merck Merck · Pharma · PA

Merck is seeking an Associate Director for Business Insights & Analytics within their US Oncology, Digital Human Health team. This role focuses on leveraging data-driven insights to inform commercial strategies, launch plans, and meet business objectives. The individual will analyze healthcare data (claims, EMR), collaborate with cross-functional teams, and stay current with analytical methodologies, including the application of GenAI. While the role involves understanding and applying AI/GenAI, its core function is in commercial analytics and product strategy within the healthcare domain, not in building AI models.

What you'd actually do

  1. Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights. Effectively communicating advanced analytics to stakeholders to inform business decisions.
  2. Communicate & collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical & clinical backgrounds.
  3. Analyze data across disparate databases/sources (including claims/EMR Data and other sources) to develop insights that inform commercial business strategies.
  4. Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.
  5. Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.

Skills

Required

  • 5+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.
  • Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.
  • Self-motivated, proactive mindset, and ability to work independently.
  • Story-telling and executive presence with senior leaders.
  • Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.
  • Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
  • Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists efficiently and effectively.
  • Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation.
  • Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).
  • Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings.
  • Brand Strategy
  • Business Analysis
  • Business Decisions
  • Business Processes
  • Business Process Improvements
  • Business Strategies
  • Commercial Analytics
  • Commercial Strategies
  • Customer Engagement
  • Data Science
  • Demand Management
  • Go-to-Market Strategies
  • Innovation

Nice to have

  • Domain knowledge in oncology, specifically as it relates to data analytics.
  • MBA, MS or PhD degree is a plus.

What the JD emphasized

  • oncology
  • technology (AI, agentic etc.)
  • demonstrated record of producing actionable insights from analytics
  • good understanding of US data landscape, commercial analytics capabilities, and technology, including application of GenAI to drive effectiveness
  • deep appreciation of pharma secondary data sources
  • define and translate objectives and business questions into analytical problems that require advanced and scalable solutions that produce actionable insights
  • mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results
  • Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs)
  • Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings