Associate Director, Advanced Analytics, Patient Journey Insights, Predictive Modeling

BeOne Medicines

Associate Director developing advanced analytics and predictive modeling solutions at BeOne. Collaborating to translate healthcare data into actionable insights for oncology patient journeys.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $145,500 - $195,500 per yearWebsite

About the role

Key responsibilities & impact

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.
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.
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 frameworks, and best practices for patient journey analytics, predictive modeling, model monitoring, and insight delivery.
Promote adoption of analytics by increasing stakeholder confidence, building analytics literacy, and embedding insights into commercial planning, medical strategy, evidence generation, and clinical operations execution.
Continuously identify opportunities to modernize tools, data assets, workflows, and AI-enabled processes that improve the speed, quality, and scalability of analytics delivery.

Requirements

What you’ll need

Bachelor’s degree required in a quantitative field such as biostatistics, statistics, mathematics, economics, data science, computer science, or a related discipline; Advanced degree preferred
BA/BS degree with 10 + years of overall experience and 7 + years of experience in advanced analytics, data science, patient journey analytics, commercial analytics, medical analytics, clinical operations analytics, or a related function within the pharmaceutical, biotech, healthcare, or life sciences sector.
Demonstrated experience analyzing longitudinal healthcare data and developing actionable patient journey insights across diagnosis, treatment, access, adherence, persistence, provider engagement, or clinical trial acceleration.
Hands-on experience building, interpreting, and operationalizing predictive models or machine learning solutions using healthcare, real-world, commercial, medical, or clinical operations data.
Strong understanding of relevant data sources, such as claims, prescription, specialty pharmacy, EHR, lab, real-world data, clinical trial operations data, market access data, and third-party syndicated datasets.
Ability to translate complex analytics into clear recommendations for senior stakeholders across Commercial, Medical Affairs, Clinical Operations, technology, data, legal, compliance, and vendor teams.
Working knowledge of responsible AI, model governance, validation, explainability, and appropriate use of AI-enabled decision-support tools in a regulated environment.
Bachelor’s degree in statistics, data science, economics, engineering, business analytics, computer science, public health, epidemiology, or a related quantitative field, or equivalent practical experience.

Benefits

Comp & perks

Medical
Dental
Vision
401(k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ScienceAdvanced AnalyticsStatistical AnalysisPredictive ModelingMachine LearningData InterpretationHealthcare Data AnalysisClinical Operations AnalyticsCommercial AnalyticsPatient Journey Insights

Soft Skills

CommunicationMentorshipStakeholder EngagementCollaborationProblem Solving