Associate Director, Advanced Analytics

Legend Biotech-posted 3 months ago
$187,989 - $246,735/Yr
Full-time • Senior
Hybrid • Somerset, NJ
1,001-5,000 employees
Chemical Manufacturing
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Legend Biotech is seeking Associate Director, Advanced Analytics as part of the Insights and Analytics team based in Somerset, NJ. The Advanced Analytics role leads predictive analytics initiatives using secondary pharma data to identify growth opportunities for Carvykti. This role applies statistical modeling, machine learning, and multivariate techniques to uncover actionable insights for commercial strategy.

  • Lead advanced analytics projects using sales, claims, and prescriber-level data.
  • Develop predictive models to identify growth drivers and risks.
  • Apply regression, clustering, and machine learning techniques.
  • Collaborate with cross-functional teams to embed analytics into decision-making.
  • Present findings to senior leadership and guide strategic planning.
  • Stay current with emerging analytics tools and methodologies.
  • Work independently to make decisions related to technical direction, methodologies, and approaches on how to address key business questions.
  • Master's degree (preferred) or Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, Econometrics, Public Health (with strong quantitative focus), or Pharmaceutical Sciences (with analytics specialization).
  • 7+ years in advanced analytics, data science, or commercial insights in pharma.
  • Experience with pharma secondary data (e.g., IQVIA, Symphony, DRG).
  • Strong statistical modeling and multivariate analysis skills.
  • Ability to communicate complex analytics to non-technical stakeholders.
  • Experience in commercial pharma strategy, especially in Sales, Marketing, or Market Access.
  • Ability to act as a strategic partner to Insights & Analytics leadership.
  • Familiarity with brand planning, launch strategy, and lifecycle management.
  • Proficiency in Python and R for statistical computing and modeling.
  • SQL for data extraction and manipulation.
  • Familiarity with Snowflake, Databricks, or other cloud data platforms.
  • Knowledge of machine learning libraries.
  • Neural networks and deep learning (optional but valuable).
  • Medical, dental, and vision insurance.
  • 401(k)-retirement plan with company match that vest fully on day one.
  • Equity and stock options available to employees in eligible roles.
  • Eight weeks of paid parental leave after just three months of employment.
  • Paid time off policy that includes 15 vacation days, 5 personal days, 5 sick days, 11 U.S. national holidays, and 3 floating holidays.
  • Flexible spending and health savings accounts.
  • Life and AD&D insurance.
  • Short- and long-term disability coverage.
  • Legal assistance.
  • Supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance.
  • Commuter benefits.
  • Family planning and care resources.
  • Well-being initiatives.
  • Peer-to-peer recognition programs.
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