Senior Manager, R&D Quality Analytics – Portfolio Insights

BeOne Medicines

Senior Manager using statistical analytics, AI, and dashboards to strengthen R&D quality oversight at BeOne, a global oncology company. Identifying clinical, safety, and research risks across portfolios.

Posted 8/4/2026full-timeRemote • 🇨🇭 SwitzerlandSenior💰 CHF 141,800 - CHF 177,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in R&D Quality, compliance, and risk management within regulated life sciences, utilizing advanced statistical analysis and data management techniques to drive quality improvements and actionable insights. Proficient in developing and implementing analytical solutions, visualizations, and quality indicators to support clinical operations and regulatory compliance.

Highest-signal resume keywords

R&D Quality ExpertiseStatistical AnalysisSQL ProficiencyData Mapping and TransformationGCP and ICH Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData MappingData CleaningPredictive ModelingMachine LearningNatural-Language ProcessingData PipelinesQuality AssuranceRisk ManagementData Integrity

Soft Skills

Excellent Communication SkillsCollaborationTechnical Leadership

Tools & Technologies

SQLRPythonPower BIETL/ELT WorkflowsAPIsData WarehousesCloud PlatformsGitMicrosoft Office

Industry Keywords

PharmaceuticalBiotechnologyClinical ResearchHealthcareRegulated Life SciencesGVPGLPGCLPClinical QualityRegulatory Affairs

Tech Stack

Tools & technologies

CloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Partner with R&D Quality leadership and GCP, GVP, GLP, and GCLP stakeholders to identify quality questions, emerging risks, oversight gaps, and intervention opportunities
Conduct cross-study, cross-program, cross-vendor, and cross-process analyses to identify recurring, systemic, and portfolio-level risks
Develop and maintain quality indicators, critical-to-quality factors, quality tolerance limits, risk indicators, thresholds, escalation criteria, and portfolio surveillance methods
Integrate and analyze clinical, safety, pharmacovigilance, laboratory, monitoring, audit, inspection, vendor, system, and quality data
Develop analytics for audit planning, patient-safety and subject-protection risk detection, GLP/GCLP oversight, and GVP oversight
Design, develop, test, implement, and maintain statistical packages, analytical applications, dashboards, automated workflows, predictive models, and decision-support tools
Perform data profiling, mapping, cleaning, transformation, source-to-report reconciliation, and root-cause analysis
Govern analytical and AI-enabled solutions through intended-use documentation, data lineage, testing, validation or assurance, access controls, version control, change management, human review, explainability, performance monitoring, and retirement planning
Create executive-ready visualizations, quality narratives, risk summaries, and actionable recommendations
Support Quality Management Review, portfolio quality surveillance, RBQM governance, audit planning, inspection readiness, vendor oversight, computerized-system oversight, and continuous improvement
Partner with Clinical Operations, Clinical Development, Data Management, Biometrics, Medical Monitoring, Pharmacovigilance, Regulatory Affairs, laboratory, RBQM, audit, technology, data engineering, and platform teams
Lead or coordinate analytics workstreams from problem framing through development, testing, implementation, adoption, monitoring, and benefit realization
Stay current with R&D regulatory expectations, industry practices, statistical methods, responsible AI principles, and emerging technologies

Requirements

What you’ll need

Experience in pharmaceutical, biotechnology, clinical research, healthcare, or another regulated life-sciences environment
Demonstrated knowledge of R&D Quality, clinical quality, quality assurance, compliance, risk management, or regulated research and development operations
Strong working knowledge of GCP and ICH requirements
Familiarity or experience in GVP, GLP, GCLP, data integrity, computerized-system assurance, and global R&D Quality expectations
Experience with structured and unstructured data, data mapping, data cleaning, reconciliation, transformation, data modeling, automated quality checks, and data pipelines
Experience applying statistical analysis, central statistical monitoring, anomaly detection, forecasting, predictive modeling, machine learning, natural-language processing, generative AI, or related methods to clinical, safety, research, or quality problems
Ability to translate complex R&D Quality and operational processes into scalable technical solutions
Ability to communicate technical findings clearly to nontechnical stakeholders and convert analyses into actionable quality recommendations
Advanced proficiency with SQL and hands-on proficiency with R or Python
Experience with Power BI or comparable visualization and business-intelligence platforms
Experience with statistical programming, central monitoring, anomaly detection, predictive modeling, or machine-learning tools and methods
Experience with APIs, data warehouses, cloud platforms, ETL/ELT workflows, Git or comparable version-control tools, and analytical development environments
Experience with automation, natural-language processing, generative AI, or model deployment and monitoring tools is preferred
Proficiency with Microsoft Office applications
Excellent written, verbal, presentation, and interpersonal communication skills
Ability to collaborate across global, cross-functional, clinical, safety, research, quality, data, and technical teams
Ability to work with sensitive or confidential clinical, safety, quality, laboratory, and patient-level information in accordance with applicable requirements
No direct people-management responsibility is required; may provide technical leadership, coaching, and work direction
May require up to 20% travel

Benefits

Comp & perks

May require up to 20% travel
Equal opportunity employment
Opportunity to work for a global oncology company
Collaboration with a global team spanning six continents