Associate Director, D&a Strategy

Merck Merck · Pharma · PA

Associate Director role focused on developing and communicating data-driven insights using AI/ML and advanced analytics to inform commercial strategies for pharmaceutical products. The role involves integrating data science, forecasting, and AI/ML enablement to influence decision-making, mine and analyze data from various sources, and provide actionable insights for commercial franchises.

What you'd actually do

  1. Thoroughly appreciate the assigned internal stakeholder business needs and priorities to help build analyses promoting business objectives by delivering actionable insights
  2. Be accountable for ensuring delivery of analyses with high quality standards, timeliness, compliance, and excellent user experience (routinely keep client base updated on progress)
  3. Mine and analyze data leveraging advanced analytical/statistical techniques from disparate databases/sources (claims data/EMR Data and other sources) to drive optimization and improvement of therapy area commercial business strategies
  4. Convey new trends/methodologies being implemented/considered within the company ecosystem and bring new ideas forward 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

Skills

Required

  • data science
  • analytical techniques
  • commercial pharma landscape
  • mining medical claims/EMR
  • social media
  • actionable business insights
  • commercial results
  • commercial franchises brands
  • product life cycle
  • commercial analytics
  • SQL
  • PowerPoint
  • Tableau
  • business processes
  • industry/market trends
  • pharmaceutical/healthcare space
  • stakeholder management
  • communication skills
  • organizational skills
  • Python
  • R

Nice to have

  • MBA or Master’s or Doctorate degree in Decision Science, Marketing, Engineering, Public Health, Biological Sciences, Nursing, Pharmacy, Mathematics, Economy, Statistics, Computer Science, Medical Sciences

What the JD emphasized

  • AI/ML enablement
  • machine learning
  • predictive and machine learning models

Other signals

  • AI/ML enablement
  • advanced data science
  • machine learning models