
10,000+ employees
Founded 2010
🧬 Biotechnology
🏥 Healthcare
💊 Pharmaceuticals
Biotechnology • Healthcare • Pharmaceuticals
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
🕒 July 21
🇺🇸 United States – Remote
💵 $174.6k - $234.6k / year
⏰ Full Time
🔴 Lead
📊 Data Scientist
👻 Ghost score 23%
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10,000+ employees
Founded 2010
🧬 Biotechnology
🏥 Healthcare
💊 Pharmaceuticals
Biotechnology • Healthcare • Pharmaceuticals
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
• Shape, develop, and scale advanced analytics and AI-enabled solutions across Commercial, Medical Affairs, and Clinical Operations • Translate complex data into scalable, innovation-led analytics and AI solutions across the patient journey, healthcare provider engagement, scientific exchange, clinical trial acceleration, and omnichannel customer experiences • Identify, pilot, adopt, and scale high-value analytics and AI opportunities • Execute the advanced analytics capability and innovation roadmap • Develop patient journey and evidence-oriented analytics using longitudinal healthcare, claims, prescription, specialty pharmacy, EHR, clinical trial, and real-world data • Design and scale solutions for omnichannel engagement, customer segmentation, campaign measurement, field effectiveness, medical engagement, and clinical trial acceleration • Lead predictive models, machine learning capabilities, next-best-action solutions, and decision-support tools • Build measurement frameworks covering success metrics, test-and-learn design, adoption tracking, performance monitoring, and outcome measurement • Partner with Commercial, Medical Affairs, and Clinical Operations leaders to translate business, scientific, and operational questions into analytical approaches and recommendations • Bridge business, medical, clinical, and technical teams through narratives, decision frameworks, and implementation plans • Partner with IT, Data Engineering, Legal, Privacy, Compliance, Medical, and Clinical Operations to ensure privacy, security, regulatory, scientific, and ethical standards • Champion responsible AI practices, including transparency, explainability, bias awareness, human oversight, validation, governance, and performance measurement • Collaborate with internal teams and external vendors to deliver high-quality analytics solutions • Provide leadership, coaching, and guidance to data scientists, analysts, analytics partners, and external resources • Establish operating models, standards, and best practices for analytics quality, scalability, speed to insight, measurement consistency, and reuse • Promote data-driven decision-making and analytics literacy across commercial planning, medical strategy, evidence generation, and clinical operations • Modernize tools, platforms, processes, and AI-enabled workflows • May manage analysts, vendors, agency partners, or contractors and provide project leadership or matrixed guidance
• BA/BS Degree with 10+ years of overall industry experience • 8+ years of experience 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 • 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, EHR, real-world data, clinical trial operations data, market access, and third-party syndicated datasets • Experience leading analytics initiatives 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 AI innovation opportunities and translate emerging technologies into practical applications with clear measurement plans • Experience designing measurement approaches for analytics and AI initiatives, including KPI 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 • Experience with modern analytics, AI, and data platforms, including cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative AI tools, experimentation platforms, and AI/ML deployment and monitoring approaches • Experience building or scaling analytics capabilities, AI innovation pilots, measurement programs, or test-and-learn frameworks in a fast-paced, growth-oriented organization • Familiarity with pharmaceutical data privacy, compliance, governance, responsible AI considerations, and practical AI application in regulated life sciences environments
• Annual bonus plan for Non-Commercial roles • Incentive compensation plan for Commercial roles • Discretionary equity awards • Employee Stock Purchase Plan • Medical insurance • Dental insurance • Vision insurance • 401(k) • FSA/HSA • Life Insurance • Paid Time Off • Wellness benefits • Up to 20% travel may be needed for team meetings, stakeholder workshops, or business reviews
Apply Now🕒 July 21
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