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Head of Scientific Analytics – Biostatistics​/Data

Job in Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: Oracle
Full Time position
Listed on 2026-10-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Management
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Job Description

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.

Responsibilities 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.
  • S…
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