BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals. When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.
General Description:
The Associate Director, Portfolio Strategy & Decision Intelligence provides the requirements and owns the quantitative and analytical backbone that underpins the R&D portfolio's prioritization, valuation, and analytical interpretation to support governance reviews. This role sits at the intersection of portfolio strategy, data science, and commercial analytics, translating complex, uncertain pipeline data into reports and analyses to support decision-ready insights for senior governance forums.
As BeOne’s portfolio grows in both size and complexity, spanning overlapping indications, combination strategies, biomarker-defined populations, and platform-level dependencies, this role ensures that prioritization decisions rest on a consistent, auditable, and increasingly AI-enabled analytical foundation, rather than ad hoc modeling rebuilt each cycle. This is a newly evolving capability area for the function and offers significant latitude to shape methodology, tooling, and governance standards from the ground up.
Prior experience in portfolio strategy and management, preferably within a biotech, pharmaceutical, or life sciences consulting environment
Demonstrated fluency in eNPV modeling, PoS-weighted valuation, scenario and sensitivity analysis, and portfolio-level resource optimization
Track record of translating complex quantitative analysis into clear recommendations for senior executive or governance audiences
Strong cross-functional collaboration skills, with credibility among both technical/analytical and clinical/commercial stakeholders
Familiarity with decision-support approaches in a pharmaceutical R&D or commercial context
Experience with stage-gate or investment governance processes in a large biotech or pharmaceutical organization
Working knowledge of oncology-specific value drivers (e.g., companion diagnostics, accelerated regulatory pathways, HTA frameworks, combination/platform strategy).
Essential Functions of the Job:
Quantitative Portfolio Modeling
Support the broader portfolio strategy team in maintaining and continuously refining portfolio information, through proactive involvement with key customers and stakeholders including: Project Teams, R&D and commercial leadership, Governance committees, Finance, Forecasting and Competitive Intelligence
Integrate probability-of-success, timelines, scenarios and sensitivity analyses, platform approaches, asset and disease strategy, and franchise perspectives into portfolio context and reporting
Contextualize internal R&D portfolio data with industry benchmarks and competitive intelligence to assess and support project and portfolio decisions
Insights & Decision Intelligence
Partner with GPPM Systems and Reporting team, Finance, and Pipeline Strategy and Valuation to provide relevant input and insights to feed decision-intelligence tools: dashboards, predictive models for trial/regulatory success, scenario simulators, and automated competitive or landscape signal feeds
Own the analytics layer of the portfolio governance process, ensuring committee materials are generated from a consistent, reusable model rather than rebuilt manually each cycle
Support the GPPM Systems and Reporting team to provide guidance on the uses for emerging AI-enabled approaches (e.g., predictive analytics, automated assumption-flagging, natural-language synthesis of competitive intelligence) to embed decision intelligence into recurring governance workflows
Governance Support & Executive Communication
Translate quantitative model output into clear, committee-ready narratives and visualizations for senior R&D and Commercial leadership forums
Support the design and facilitation…