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Head of Scientific Analytics – Biostatistics/Real World Data

United Kingdom

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What you’ll work on

Full posting
  • Define and execute the vision, strategy, and operating model for Scientific Analytics across Research Services.

  • Ensure analytical methodologies remain scientifically robust, scalable, and aligned with industry best practices.

  • Lead and develop a global organisation of approximately 40 + analytics professionals across multiple geographic regions.

From the employer’s posting
Strategic Leadership 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.
Organisational Leadership Lead and develop a global organisation of approximately 40 + analytics professionals across multiple geographic regions. Manage a team of managers responsible for delivering scientific analytics services across Research Services.

What you’ll bring

All qualifications

Core experience

  • Deep expertise in the following areas:- Real-World Data (RWD)
  • 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.
Qualification wording
Deep expertise in the following areas:- Real-World Data (RWD)
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.
Education & alternatives
Required Experience - 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.

Job description

View original posting ↗

This is a unique opportunity to shape and grow a strategically important function that brings together Real-World Data (RWD) Analytics, Biostatistics, Advanced Commercial Analytics, and Evidence Generation capabilities under a unified leadership structure. As Head of Scientific Analytics, you will define the future direction of scientific analytics, build organisational capability, and lead a global team delivering innovative research and analytical solutions for life sciences and healthcare customers.

The successful candidate will combine deep scientific and analytical expertise with proven people leadership experience, overseeing a global organisation of approximately 40-50 professionals through a team of managers. You will play a critical role in helping customers generate evidence, understand patient populations, support clinical research, and derive meaningful insights from complex healthcare datasets.

What You'll Do

Strategic Leadership

  • 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.
  • Partner with executive leadership to align analytics capabilities with long-term business objectives and customer needs.
  • Establish Scientific Analytics as a strategic differentiator within Oracle Health's Life Sciences business.
  • Foster a culture of collaboration, accountability, continuous improvement, and professional development.

 

Scientific & Analytical Leadership

  • 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
  • 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.

 

Organisational Leadership

  • Lead and develop a global organisation of approximately 40 + analytics professionals across multiple geographic regions.
  • Manage a team of managers responsible for delivering scientific analytics services across Research Services.
  • Build organisational capability through coaching, mentoring, succession planning, and leadership development.
  • Create an environment that attracts, develops, and retains top analytical and scientific talent.

 

Cross-Functional Collaboration

  • Partner closely with HEOR, Clinical Regulatory & Safety, Commercial, Product, Technology, and AI
  • Collaborate with customer-facing teams to ensure analytics solutions address evolving customer and market needs.
  • Represent the Scientific Analytics organisation internally and, when appropriate, externally at industry forums, conferences, and customer engagements.
  • Act as a trusted advisor to senior stakeholders on analytics strategy and scientific best practices.

 

Quality, Compliance & Governance

  • 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.
  • Drive consistency in methodologies, processes, and standards across the analytics organisation.

Qualifications

Required Experience

  • 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.

Why Join Oracle Health?

This is a rare opportunity to lead the transformation of a strategically important global analytics organisation at a pivotal stage of growth. You will have the opportunity to shape the future of Scientific Analytics, build and develop world-class teams, and help life sciences and healthcare organisations unlock the value of real-world data to improve research, accelerate innovation, and ultimately enhance patient outcomes.

If you are passionate about combining scientific excellence, organisational leadership, and healthcare innovation, we would love to hear from you.

 

Career Level - M4

Your next step

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  • Check the listed location, eligibility and core experience before starting.
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United Kingdom

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First seen by us
Jun 12, 2026
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Last seen by us
Oct 8, 2026

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