Associate Director, Advanced Analytics, Patient Journey Insights and Predictive

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, Advanced Analytics – Patient Journey Insights and Predictive Modeling will develop and deliver advanced analytics, AI-enabled insights, and predictive modeling solutions that support data-driven decision-making across Commercial, Medical Affairs, and Clinical Operations. This role will translate complex longitudinal healthcare data into actionable insights across the patient journey, including diagnosis, treatment initiation, access, adherence, persistence, healthcare provider engagement, scientific exchange, and clinical trial acceleration.
This highly collaborative role partners with Commercial, Medical Affairs, Clinical Operations, Market Access, Medical Excellence, Clinical Development, IT, Data Engineering, Legal, Compliance, and external analytics partners to generate high-quality insights, build scalable predictive models, strengthen data and model governance, and embed analytics into strategic and operational decision-making.
Key Responsibilities
Patient Journey Analytics and Predictive Modeling

- Lead the design and execution of patient journey analytics that identify key moments of intervention, access barriers, treatment transitions, adherence challenges, persistence opportunities, and unmet needs across priority therapeutic areas.

- Integrate and analyze longitudinal healthcare data sources, including claims, prescription, specialty pharmacy, EHR, lab, real-world data, clinical trial operations data, market access data, and third-party syndicated datasets.

- Develop predictive models and machine learning approaches that support patient identification, biomarker status, provider opportunity assessment, treatment progression, adherence risk, CT acceleration, and engagement prioritization.

- Translate model outputs and patient journey findings into clear recommendations, decision frameworks, dashboards, and executive-ready narratives for Commercial, Medical Affairs, and Clinical Operations stakeholders.

- Identify practical AI and advanced analytics use cases, including generative AI, natural language interfaces, intelligent automation, and decision intelligence, that improve insight generation and operational effectiveness.

Cross-Functional Partnership and Insight Translation

- Serve as a subject matter expert for patient journey insights and predictive modeling, helping business, medical, and clinical stakeholders translate strategic questions into analytical approaches, data requirements, and measurable outputs.

- Partner with Commercial, Medical Affairs, Clinical Operations, Market Access, Medical Excellence, Clinical Development, Data Engineering, IT, Legal, Privacy, and Compliance teams to ensure analytics solutions are relevant, accurate, scalable, and appropriate for a regulated life sciences environment.

- Communicate complex analytical findings in clear, compelling ways through presentations, dashboards, data stories, and decision-support materials for senior stakeholders and cross-functional teams.

- Champion responsible AI and model governance practices by promoting transparency, explainability, bias awareness, human oversight, fit-for-purpose validation, and appropriate documentation for AI-enabled decision support.

Project Leadership and Capability Enablement

- Lead cross-functional analytics workstreams from problem framing and data assessment through modeling, insight generation, stakeholder review, and implementation support.

- Provide technical guidance and mentorship to analysts, data scientists, and external partners to improve analytical rigor, reproducibility, and business relevance.

- Establish practical standards, reusable fr