Associate Director, Pipeline Analytics

Role Summary

Associate Director, Pipeline Analytics at BeOne Medicines. Drive data-driven insights into pipeline molecule analysis, R&D investment optimization, and portfolio prioritization to identify the most promising assets for commercialization and support strategic decision-making for long-term growth. Leverage advanced analytics, predictive modeling, and real-world data insights to support strategic planning, asset valuation, and market entry strategies, ensuring high-impact, high-potential innovations are prioritized. Act as a thought partner to R&D, Commercial, and Business Development teams to assess pipeline performance and shape portfolio strategy.

Responsibilities

• Lead quantitative assessments of pipeline molecules, integrating clinical, commercial, and regulatory factors to evaluate potential success.
• Develop predictive models and scenario analysis frameworks to assess asset progression probability, clinical trial outcomes, and market access feasibility.
• Utilize claims data and real-world evidence (RWE) to develop Line of Therapy (LoT) models, identifying treatment sequencing patterns, market share dynamics, and patient journey insights to inform pipeline strategy.
• Provide data-driven insights into portfolio prioritization, ensuring R&D investments are aligned with strategic growth objectives.
• Conduct competitive intelligence analyses, tracking industry trends, competitor pipelines, and evolving market opportunities.
• Collaborate cross-functionally with R&D, Commercial, Finance, and Business Development teams to optimize asset selection, investment decisions, and commercialization pathways.
• Analyze clinical, preclinical, and biomarker data to identify differentiation opportunities for pipeline assets.
• Develop valuation models for pipeline molecules, integrating scientific, clinical, regulatory, and market access considerations.
• Support strategic planning for market entry, lifecycle management, and geographic expansion, assessing unmet needs, pricing potential, and competitive positioning.
• Present findings to senior leadership, distilling complex analyses into clear, actionable insights that shape pipeline strategy.
• Stay informed on emerging analytical methodologies, integrating new techniques into pipeline analytics to enhance decision-making.

Education

• Advanced degree (e.g., Masters, PhD) in engineering, life science, statistics, computer science, or related quantitative field.

Qualifications

• 6+ years of experience with a Master‚Äôs, or 6+ years with a PhD, in pipeline analytics, portfolio strategy, or data-driven R&D decision-making.
• 8+ years of consulting or commercial pharmaceutical industry experience.

Technical Expertise

• Expertise in pipeline analytics, asset valuation, and R&D investment modeling.
• Deep expertise in claims data analysis, RWE, and epidemiology to model LoT development, optimizing patient segmentation and treatment pathways.
• Strong understanding of clinical trial design, regulatory pathways, and market access considerations.
• Experience with data visualization platforms (Tableau, Power BI, Spotfire).
• Proficiency in Python, R, SQL, and cloud-based data analytics platforms (AWS, Azure, or GCP) for data modeling and scenario simulation.
• Experience with RWE and health economics datasets to assess market potential and patient impact.
• Experience building workflows in Dataiku is highly desirable for automating data pipelines and improving analytical efficiency.

Business Acumen & Leadership

• Ability to translate complex analytics into strategic insights that drive pipeline decision-making and commercialization strategies.
• Strong influencing skills, collaborating effectively with R&D, Commercial, and cross-functional teams.
• Experience leading pipeline analytics initiatives that directly impact portfolio strategy and asset development decisions.
• Excellent communication and presentation skills, making complex analyses accessible and actionable for executives.

Travel

• 15-20%