BeiGene Logo

BeiGene

Senior Manager, R&D Data Modeler

Reposted 16 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in US
142K-187K Annually
Senior level
Remote
Hiring Remotely in US
142K-187K Annually
Senior level
The Senior Manager R&D Data Modeler is responsible for designing and evolving enterprise data models to support scalable analytics and AI, ensuring regulatory compliance and collaboration across multiple domains.
The summary above was generated by AI

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.

Essential Functions of the job:

  • 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.

Supervisory Responsibilities:

  • No

Computer Skills:

  • Microsoft Applications (Outlook, Word, Excel, PowerPoint, Project)

Qualifications:   

  • 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.

Travel: 

  • Minimal

BeiGene Global Competencies

When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

  • Fosters Teamwork

  • Provides and Solicits Honest and Actionable Feedback

  • Self-Awareness

  • Acts Inclusively

  • Demonstrates Initiative

  • Entrepreneurial Mindset

  • Continuous Learning

  • Embraces Change

  • Results-Oriented

  • Analytical Thinking/Data Analysis

  • Financial Excellence

  • Communicates with Clarity

Global Competencies

When we exhibit our values of Patients First, Driving Excellence, Bold Ingenuity and Collaborative Spirit, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

  • Fosters Teamwork
  • Provides and Solicits Honest and Actionable Feedback
  • Self-Awareness
  • Acts Inclusively
  • Demonstrates Initiative
  • Entrepreneurial Mindset
  • Continuous Learning
  • Embraces Change
  • Results-Oriented
  • Analytical Thinking/Data Analysis
  • Financial Excellence
  • Communicates with Clarity

Salary Range: $141,700.00 - $186,700.00 annually

BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in the cost of labor. The recruiter can share more about the specific salary range for a preferred location during the hiring process.  Please note that the listed range reflects the base salary or hourly range only. Non-Commercial roles are eligible to participate in the annual bonus plan, and Commercial roles are eligible to participate in an incentive compensation plan. 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.

We are proud to be an equal opportunity employer. BeOne does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact [email protected].

Top Skills

Cloud-Native Platforms
Graph Databases
Hybrid Databases
Metadata Repositories
Microsoft Applications

Similar Jobs

4 Minutes Ago
Remote or Hybrid
Chicago, IL, USA
136K-277K Annually
Senior level
136K-277K Annually
Senior level
Cloud • Software
Lead product strategy for AI/ML features on ThousandEyes, translate customer needs into model-driven capabilities, collaborate with engineering and research, design AI-first UX, make product trade-offs, and operationalize experiments at scale.
Top Skills: Agentic AiAIMachine LearningNetwork TelemetryThousandeyesTransformers
4 Minutes Ago
Remote or Hybrid
146K-239K Annually
Junior
146K-239K Annually
Junior
Cloud • Software
As a Machine Learning Engineer at Cisco ThousandEyes, you will develop, evaluate, and implement AI/ML models, including Deep Learning and Large Language Models, and manage large-scale ML pipelines.
Top Skills: Deep LearningLarge Language ModelsPythonPyTorchSklearnTensorFlowXgboost
4 Minutes Ago
Remote or Hybrid
Chicago, IL, USA
175K-250K Annually
Senior level
175K-250K Annually
Senior level
Fintech • Machine Learning • Software • Financial Services
The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.
Top Skills: C++CudaCudnnHorovodJaxNcclPythonPyTorchTensorFlowTensorrt

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account