Role Summary
BeOne's Advanced Analytics team is seeking an Associate Director, Pipeline Analytics to drive data-driven insights into pipeline molecule analysis, R&D investment optimization, and portfolio prioritization. This role identifies the most promising assets for commercialization and informs strategic decisions that maximize BeOne Medicines' long-term growth. You will support strategic planning, asset valuation, and market-entry strategies using advanced analytics, predictive modeling, and real-world data insights, and will collaborate with R&D, Commercial, and Business Development to shape the portfolio.
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 BeOne Medicines' 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 BeOne Medicines' 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 BeOne Medicines' pipeline strategy.
- Stay informed on emerging analytical methodologies, integrating new techniques into pipeline analytics to enhance decision-making.
- Supervisory responsibilities: Yes.
Qualifications
- 6+ years of experience with a Masterβs, 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.
Skills
- Expertise in pipeline analytics, asset valuation, and R&D investment modeling.
- Deep expertise in claims data analysis, RWE, and epidemiology to model Line of Therapy (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) to present insights clearly and effectively.
- Proficiency in Python, R, SQL, and cloud-based data analytics platforms (AWS, Azure, or GCP) for data modeling and scenario simulation.
- Experience working with real-world evidence (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.
- 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.
Education
- Advanced degree (e.g., Masters, PhD), in engineering, life science, statistics, computer science, or related quantitative field.
Additional Requirements