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Head of Data Science Innovation R&D Operations

Job in Brentford, Greater London, TW8, England, UK
Listing for: GlaxoSmithKline
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 GBP Yearly GBP 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Head of Data Science Innovation for R&D Operations

Overview

GSK is a place where outstanding people do amazing things. As a science-led global healthcare company, we exist to help people do more, feel better, live longer. Our goal is to be one of the most innovative, best performing, and trusted healthcare companies.

This is an exciting opportunity to channel your passion for Innovation in the field of Statistics and Data Science to help shape the future of the Biostatistics function and transform the way in which GSK uses data and quantitative thinking to drive decision-making in R&D.

Biostatistics is the single-largest functional group of Statisticians, Programmers and Data Scientists within GSK R&D, numbering approx. 900 permanent people in the US, UK, Europe and India. Our mission is to put statistical thinking at the heart of R&D decision-making; to ensure that predictive models and well-designed experiments and trials deliver robust evidence as the input to those decisions – ultimately making the R&D process more efficient and increasing the probability of success.

We are investing in our cutting-edge innovation capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. The vision of SDS-IH is to be the catalyst for innovation and advanced data-driven decision making. To achieve this, we are forming agile teams dedicated to untangling and resolving complex data challenges across R&D, constructing robust data pipelines, comprehensive analytics, and dynamic dashboards to enable stakeholders to take data-informed decisions in real-time.

At the heart of SDS-IH lies a diverse coalition of Statisticians and Data Scientists - a synthesis of unique skills and experiences. Together, we are the architects of novel quantitative methodologies, systems, and tools – a living embodiment of our vision.

Why join The Statistics & Data Science Innovation Hub?

SDS-IH is now poised to take a leap forward and we are looking for an entrepreneurial statistic an/data scientist to join us as Head of Data Science Innovation for R&D Operations to help us supercharge quantitative decision-making across R&D. Our goal is to interconnect and amplify current data and modelling initiatives, fundamentally transforming and accelerating the landscape of medicine development by creating a framework to enable the consistent and scalable use of data across R&D.

We envision a future where an advanced, partially automated system seamlessly orchestrates end-to-end clinical development plans. This system will not just streamline processes; it will set new benchmarks in efficiency, accuracy, and innovation in the journey of medicine and vaccine development from laboratory to patient.

Responsibilities
  • Support the design and implementation of a framework to enable the consistent and scalable use of data across R&D and develop an advanced, partially automated system for orchestrating end-to-end clinical development plans, in collaboration with other pillars within SDS-IH and relevant R&D line functions.
  • Build strategic relationships with business and operations partners across R&D (e.g. Clinical Operations, Clinical Supply Chain, Portfolio Analytics, Finance, HR, Regulatory, Resource Management) to identify and implement opportunities to apply predictive models to make data-informed decisions in pursuit of business goals
  • Proactively seek opportunities across R&D to leverage innovative statistical and data science methods (including gen AI) to drive business improvements and run prioritized experiments to identify ideas with high-level business impact
  • Lead and inspire teams of Statisticians and Data Scientists to deliver functional products, using agile and other principles as appropriate.
  • Ensure the team delivers real business value through the deployment and maintenance of statistical/ML models into GSK’s production ecosystem (aka MLOps).
  • Member of the SDS-IH Leadership Team with accountability for developing and driving the SDS-IH strategy to connect and scale predictive modelling capabilities for enhanced efficiency, with a focus on the interplay between various business and clinical operations and ensuring alignment of priorities with the…
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