Associate Director, Pipeline Analytics
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Job Description
Associate Director driving data-driven insights into pipeline molecule analysis and portfolio prioritization at BeOne Medicines. Collaborating across teams and employing advanced analytics to shape oncology innovations.
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 and market access feasibility.
- Utilize claims data and real-world evidence (RWE) to develop Line of Therapy (LoT) models.
- 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 and market opportunities.
- Collaborate cross-functionally with R&D, Commercial, Finance, and Business Development teams.
- Analyze clinical, preclinical, and biomarker data to identify differentiation opportunities.
- 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.
- Present findings to senior leadership, distilling complex analyses into clear insights.
Requirements:
- Advanced degree (e.g., Masters, PhD) in engineering, life science, statistics, computer science, or related quantitative field.
- 6+ years of experience with a Master’s, 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.
- 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.
- 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).
- Experience working with real-world evidence (RWE) and health economics datasets.
- Experience building workflows in Dataiku is highly desirable.
Benefits:
- Medical
- Dental
- Vision
- 401(k)
- FSA/HSA
- Life Insurance
- Paid Time Off
- Wellness
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