What are the responsibilities and job description for the Associate Director, Data Science position at Analytic Recruiting Inc.?
Join a leading pharmaceutical company’s Data Science team, where you’ll drive and lead advanced analytics across Marketing, Sales, and Access. As Associate Director, A HIGH LEVEL INDIVIDUAL CONTRIBUTOR, you’ll lead strategic initiatives—from predictive modeling and personalization to field force optimization—delivering scalable solutions that inform commercial decisions and enhance patient engagement. Deep experience in pharmaceutical marketing analytics is essential to translate brand strategy into actionable insights.
Keywords: MMM, Next Best Action, NLP, Data Science, HCP, GenAI
Location: Onsite 3 days a week in Cambridge, MA
Key Responsibilities
- Lead development and deployment of predictive models, segmentation, NLP, and GenAI tools to solve complex commercial challenges
- Translate pharmaceutical brand objectives into analytics frameworks across marketing, sales, and access
- Design and operationalize Next Best Action strategies to boost omnichannel engagement and HCP ROI
- Build and scale Patient 360 models and targeting algorithms for AI-driven lead generation
- Guide stakeholders through insight activation and integration into workflows
- Champion model governance, experimentation, and analytical rigor
- Collaborate with IT to develop ML Ops environments and productized solutions
- Manage external analytics partners and ensure alignment across data engineering, insights, and compliance
Who You Are
A strategic data scientist with strong business acumen, leadership presence, and deep experience in pharmaceutical marketing analytics. You thrive at the intersection of data and action, delivering measurable impact.
Qualifications
- 7 years in analytics/data science; 4 years in leadership roles within pharmaceutical industry
- Proven experience in pharmaceutical marketing analytics, including brand strategy, HCP engagement, and omnichannel optimization
- Expertise in NBA, MMM, supervised/unsupervised learning, A/B testing, time-series forecasting
- Success in marketing mix modeling, decision engines, and GenAI product design
- Proficient in Python, R, SQL, Snowflake; skilled in Power BI or Tableau
- Familiarity with APLD, PlanTrak, claims, and specialty pharmacy datasets
- Strong communicator with executive presence and cross-functional influence