Senior Manager, R&D Data Modeler

BeiGene

16h

About The Position

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. The Senior Manager R&D Data Modeler is responsible for designing, governing, and evolving enterprise data models that enable scalable analytics, AI, and regulatory-compliant data products across the R&D organization. This role combines hands-on data modeling expertise with cross-functional leadership, ensuring that conceptual, logical, and physical data models are accurate, extensible, and aligned with business and technology strategy. The Senior Manager R&D Data Modeler serves as a subject-matter expert across Research, Clinical, Safety, Regulatory, and related domains, partnering closely with data engineering, analytics, and governance teams to translate complex requirements into high-quality, production-ready and AI-ready data products.

Requirements

• Master’s or Ph.D. in Data Science, Computer Science, or related discipline.
• 8+ years of strategic data modeling/architecture experience in regulated environments, deep Pharma R&D expertise strongly preferred.
• Proven ability to define and drive enterprise-scale modeling standards and tool migrations.
• Expert knowledge of modern data platforms (cloud-native, hybrid, graph databases) and advanced integration patterns.
• Exceptional leadership, influencing, and cross-stakeholder collaboration skills.

Responsibilities

• Strategic Data Architecture Define the enterprise modeling roadmap—aligning data architecture with long-term R&D objectives.
• Lead the design of advanced conceptual and logical frameworks that span Research, Clinical, Safety, Regulatory, and beyond.
• Advocate for modular, micro-service–friendly physical models to accelerate self-service analytics and AI.
• Ensure data models support downstream analytics, reporting, machine learning, and operational use cases.
• Governance & Tooling Define and enforce enterprise modeling standards, naming conventions, and design guidelines.
• Develop and oversee governance frameworks that institutionalize regulatory compliance, traceability, and auditability (GxP, FAIR principles and regulatory compliance at scale).
• Contribute to metadata, lineage, and data catalog initiatives by ensuring models are well-documented and discoverable.
• Evaluate emerging modeling paradigms (graph, knowledge-graph, metadata-driven) and pilot proof-of-concepts.
• Usage of and driving enterprise adoption of metadata repositories, lineage platforms, and model-driven development, leveraging AI models and tools.
• Cross-Functional Leadership Chair architecture councils and data governance boards to harmonize modeling standards across functions and to ensure consistency across domains and platforms.
• Collaborate with GTS/IT, and business sponsors to align priorities and deliverables related to modeling initiatives and data-product innovation.
• Thought Leadership & Mentorship Publish best-practice frameworks, reference architectures, and reusable design patterns to accelerate delivery.
• Mentor lead modelers and senior analysts—cultivating a center of excellence for data modeling and information management.
• Represent R&D data architecture at industry forums and conferences.

Benefits

• All Company employees have the opportunity to own shares of BeOne Medicines Ltd. stock because all employees are eligible for discretionary equity awards and to voluntarily participate in the Employee Stock Purchase Plan.
• The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree