Biostatistical Programming Senior Manager

• Provide operational and technical leadership for Real-World Evidence (RWE) biostatistical programming within the Centre for Observational Research (CfOR)
• Lead and develop programming teams, partnering closely with epidemiologists and cross-functional stakeholders across multiple time zones to deliver high-quality RWE from large healthcare data sources, including electronic health records (EHR) and healthcare claims databases
• Oversee project delivery, resource planning, technical excellence, and compliance with departmental standards and processes to support regulatory, publication, and enterprise objectives
• Leading and developing programming staff, including mentoring, workload planning, and performance oversight
• Partnering with epidemiologists, RWE scientists, and programming leads to generate robust real-world evidence from healthcare data assets
• Providing technical leadership and guidance in statistical programming methods, standards, and best practices
• Managing programming activities, timelines, deliverables, and resource allocation across multiple projects and priorities
• Ensuring programming activities comply with departmental standards, SOPs, quality expectations, and regulatory requirements
• Authoring, reviewing, and approving programming plans, analysis dataset specifications, macros, and other key study documentation
• Contributing to the development, validation, and execution of analysis datasets and outputs supporting regulatory submissions, publications, and scientific communications
• Overseeing outsourced programming activities and ensuring quality and delivery expectations are met
• Leading and contributing to process improvement initiatives, capability development, and continuous improvement across CfOR and R&D
• Supporting audit readiness activities and participating in internal and external audits, inspections, and quality reviews as required
• Representing the programming function within cross-functional teams, governance discussions, and professional forums
• Supporting recruitment, onboarding, and development of programming talent within the organization

• Degree educated
• Relevant statistical programming experience within life sciences, clinical development, or observational research
• Experience leading people, projects, programs, or resource allocation activities within a programming environment
• Experience working with real-world healthcare data, including healthcare claims and EHR databases
• Strong programming expertise in SAS and SQL
• Knowledge of observational research methods, drug development, and epidemiology principles
• Strong communication, collaboration, and stakeholder management skills
• Demonstrated leadership, problem-solving ability, innovation, and attention to detail
• Experience with R and/or Python is preferred but not mandatory

Experience with R and/or Python is preferred but not mandatory

• Vast opportunities to learn and move up and across our global organization
• Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
• Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits