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BeOne

Global oncology therapeutics discovery, development, manufacturing

Director – Advanced Analytics and Data Science - Innovation

Data ScienceConfirmed live in the last 24 hours
Full-time$174.6k - $234.6k /yr

About the Job

Requirements

  • A BA/BS degree and 10 or more years of overall industry experience, including 8 or more years in advanced analytics, data science, commercial analytics, medical analytics, clinical operations analytics, business analytics, or a related function within the pharmaceutical, biotech, healthcare, or life sciences sector, or equivalent practical experience for the separately stated bachelor's degree requirement.
  • Demonstrated experience translating complex data and analytics into strategic recommendations for senior business stakeholders.
  • Strong understanding of healthcare, medical, clinical, and commercial data sources, including claims, prescription, specialty pharmacy, electronic health records, real-world data, clinical trial operations data, market access, and third-party syndicated datasets.
  • Experience leading analytics initiatives and innovations supporting commercial strategy, omnichannel engagement, patient journey insights, medical engagement, evidence generation, clinical trial feasibility, enrollment, site performance, customer targeting, segmentation, measurement, experimentation, or predictive modeling.
  • Proven ability to lead cross-functional initiatives and influence stakeholders across business, technology, data, legal, compliance, and vendor teams.
  • Demonstrated ability to identify high-value artificial intelligence innovation opportunities, support artificial intelligence-enabled transformation, and translate emerging technologies into practical business, scientific, and operational applications with clear measurement plans.
  • Experience designing measurement approaches for analytics and artificial intelligence initiatives, including key performance indicator definition, experimentation, model monitoring, adoption metrics, and business impact assessment.
  • Bachelor's degree in statistics, data science, economics, engineering, business analytics, computer science, or a related quantitative field, or equivalent practical experience.

Responsibilities

  • Contribute to and help execute the advanced analytics capability and innovation roadmap, aligning analytics investments with priorities across Commercial, Medical Affairs, and Clinical Operations and measurable enterprise outcomes.
  • Advance practical artificial intelligence innovation, including predictive triggers, dynamic targeting, enhanced patient journeys, next-best action for healthcare professionals and accounts, and integrated account strategy, by identifying, piloting, and scaling use cases for generative artificial intelligence, agentic artificial intelligence, natural language interfaces, intelligent automation, and decision intelligence across Commercial, Medical Affairs, and Clinical Operations.
  • Develop patient journey and evidence-oriented analytics using longitudinal healthcare data, claims, prescription, specialty pharmacy, electronic health records, clinical trial, real-world data, and other relevant data sources to identify key moments of intervention, access barriers, adherence challenges, scientific insights, and clinical trial acceleration.
  • Design and scale analytics solutions that support omnichannel engagement, customer segmentation, campaign measurement, field effectiveness, medical engagement, and clinical trial acceleration.
  • Lead the development and deployment of predictive models, machine learning capabilities, next-best-action solutions, and decision-support tools that enable more personalized, evidence-based, and effective engagement and operational planning.
  • Build measurement frameworks for analytics and artificial intelligence solutions, including success metrics, test-and-learn design, adoption tracking, performance monitoring, and outcome measurement to quantify business, scientific, operational, and patient impact.
  • Serve as a strategic partner to Commercial, Medical Affairs, and Clinical Operations leaders by translating business, scientific, and operational questions into analytical approaches, data requirements, measurable success criteria, and actionable recommendations.
  • Bridge business, medical, clinical, and technical teams by converting analytics outputs into clear narratives, decision frameworks, and implementation plans for stakeholders at all levels.
  • Partner with IT, Data Engineering, Legal, Privacy, Compliance, Medical, and Clinical Operations stakeholders to ensure analytics products, artificial intelligence and machine learning models, and data practices meet applicable privacy, security, scientific, regulatory, and ethical expectations.
  • Champion responsible artificial intelligence practices by promoting transparency, model explainability, bias awareness, human oversight, fit-for-purpose validation, appropriate governance, and ongoing performance measurement for artificial intelligence-enabled decision support.
  • Collaborate with internal teams and external vendors to deliver high-quality analytics solutions efficiently and with strong adoption across the organization.
  • Serve as a thought leader and hands-on driver in the responsible adoption and continuous evolution of advanced analytics, artificial intelligence innovation, and machine learning capabilities across Commercial, Medical Affairs, and Clinical Operations teams.
  • Provide day-to-day leadership, coaching, and guidance to data scientists, analysts, analytics partners, and external resources, while supporting team development and capability building.
  • Establish practical operating models, standards, and best practices that improve analytics quality, scalability, speed to insight, measurement consistency, and reuse across teams.
  • Promote a culture of data-driven decision-making by increasing analytics literacy, building stakeholder confidence, and embedding insights into commercial planning, medical strategy, evidence generation, and clinical operations execution.
  • Continuously identify opportunities to modernize tools, platforms, processes, and artificial intelligence-enabled workflows that improve the impact, efficiency, scalability, adoption, and measurable value of analytics delivery.

Desired Qualifications

  • An advanced degree, such as a Master's, MBA, or Ph.D., in a quantitative, scientific, technology, or business discipline.
  • Experience with modern analytics, artificial intelligence, and data platforms, such as cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative artificial intelligence tools, experimentation platforms, and artificial intelligence/machine learning deployment and monitoring approaches.
  • Experience building or scaling analytics capabilities, artificial intelligence innovation pilots, measurement programs, or test-and-learn frameworks in a fast-paced, growth-oriented organization.
  • Strong executive communication skills, including the ability to develop clear narratives, simplify complexity, and present insights to senior leadership.
  • Familiarity with pharmaceutical data privacy, compliance, governance, responsible artificial intelligence considerations, and the practical application of artificial intelligence in regulated life sciences environments.

About the Company

BeOne

Global oncology therapeutics discovery, development, manufacturing

BeOne Medicines discovers, develops, and commercializes oncology therapies worldwide, focusing on hematologic cancers and solid tumors. Its products work by leveraging internal R&D and clinical development to bring therapies to market quickly, with Brukinsa serving as a leading backbone in the US and European markets. It differentiates itself through a large-scale global clinical network and cost-efficient development and manufacturing that support high margins and a focus on large-market cancer indications. Its goal is to expand access to high-impact, affordable cancer treatments across more than 45 countries while growing its pipeline into immunology and solid tumors.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Dongcheng District, China
Founded
2010

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