Head of Scientific Analytics – Biostatistics/real World Data

Oracle Oracle · Enterprise · United Kingdom

Head of Scientific Analytics role at Oracle, leading a global team of 40-50 professionals focused on Real-World Data (RWD) Analytics, Biostatistics, and Evidence Generation for life sciences and healthcare customers. The role involves strategic leadership, scientific and analytical guidance, organizational development, and cross-functional collaboration, ensuring compliance with regulatory and ethical standards.

What you'd actually do

  1. Define and execute the vision, strategy, and operating model for Scientific Analytics across Research Services.
  2. Provide leadership across a broad range of analytics disciplines, including: Real-World Data (RWD) Analytics, Electronic Health Record (EHR) Research, Biostatistics, Clinical Trial Analytics, Epidemiology and Observational Research, Healthcare Claims Analytics
  3. Lead and develop a global organisation of approximately 40 + analytics professionals across multiple geographic regions.
  4. Ensure all analytical activities comply with applicable scientific, regulatory, privacy, and ethical standards.
  5. Partner with HEOR, Clinical Regulatory & Safety, Commercial, Product, Technology, and AI

Skills

Required

  • Advanced degree (PhD, DrPH, ScD, MSc, MPH, or equivalent) in Biostatistics, Epidemiology, Public Health, Data Science, Health Economics, Statistics, or a related quantitative discipline
  • Significant experience leading scientific analytics, biostatistics, evidence generation, data science, or healthcare analytics organisations within life sciences, healthcare, pharmaceutical, biotechnology, healthcare technology, or contract research environments.
  • Proven success managing and leading multidisciplinary teams
  • Deep expertise in Real-World Data (RWD), Electronic Health Record (EHR) Research, Biostatistics, Clinical Trial Analytics, Healthcare Claims Analytics
  • Strong understanding of research design, statistical methodologies, evidence generation, and healthcare data analytics.
  • Experience conducting or overseeing analyses using large-scale healthcare datasets, including electronic health records, claims data, registries, or other real-world data sources.
  • Demonstrated ability to balance strategic leadership with operational execution in a complex, matrixed environment.
  • Strong stakeholder management, communication, and influencing skills.

Nice to have

  • PhD, DrPH, ScD, MSc, MPH, or equivalent in Biostatistics, Epidemiology, Public Health, Data Science, Health Economics, Statistics, or a related quantitative discipline

What the JD emphasized

  • Define and execute the vision, strategy, and operating model for Scientific Analytics across Research Services.
  • Lead the evolution of a newly integrated analytics organisation, driving innovation, scalability, operational excellence, and scientific rigor.
  • Guide the analytic design and data analysis of complex research studies and analytical projects that support evidence generation and healthcare decision-making.
  • Ensure analytical methodologies remain scientifically robust, scalable, and aligned with industry best practices.
  • Drive innovation in the application of healthcare data, statistical methods, and emerging analytical technologies.
  • Ensure all analytical activities comply with applicable scientific, regulatory, privacy, and ethical standards.
  • Establish and maintain best practices for analytical quality, transparency, reproducibility, and governance.
  • Advanced degree (PhD, DrPH, ScD, MSc, MPH, or equivalent) in Biostatistics, Epidemiology, Public Health, Data Science, Health Economics, Statistics, or a related quantitative discipline preferred.
  • Significant experience leading scientific analytics, biostatistics, evidence generation, data science, or healthcare analytics organisations within life sciences, healthcare, pharmaceutical, biotechnology, healthcare technology, or contract research environments.
  • Proven success managing and leading multidisciplinary teams
  • Deep expertise in the following areas: Real-World Data (RWD), Electronic Health Record (EHR) Research, Biostatistics, Clinical Trial Analytics, Healthcare Claims Analytics
  • Strong understanding of research design, statistical methodologies, evidence generation, and healthcare data analytics.
  • Experience conducting or overseeing analyses using large-scale healthcare datasets, including electronic health records, claims data, registries, or other real-world data sources.
  • Demonstrated ability to balance strategic leadership with operational execution in a complex, matrixed environment.
  • Strong stakeholder management, communication, and influencing skills.