In this vital role you will provide operational and technical leadership for Real-World Evidence (RWE) biostatistical programming within the Centre for Observational Research (CfOR). You will 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. Reporting to the local Director of Biostatistical Programming, you will oversee project delivery, resource planning, technical excellence, and compliance with departmental standards and processes to support regulatory, publication, and enterprise objectives.
Responsibilities
* 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.
Qualifications
* 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.
As we work to develop treatments that take care of others, so we work to care for our teammates' professional and personal growth and well‑being.
Benefits
* 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.
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