Associate Director, Decision Science Clinical Operations

Overview

Site Name: UK – London – New Oxford Street, Stevenage, Upper Providence, Wavre

Posted Date: Feb 2 2026

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Associate Director, Decision Science for Clinical Operations

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, well-designed experiments, and trials deliver robust evidence as the input to those decisions, ultimately making the R&D process more efficient.

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. In this role, you will work closely with SDS-IH to embed sophisticated analytics into Global Clinical Operations (GCO), enabling stakeholders to make timely, robust, and impactful decisions.

As the Associate Director of Decision Science for Clinical Operations, you will serve as a strategic thought partner to senior R&D leadership, architecting the future of how GSK plans and executes clinical trials. Your mission is to embed sophisticated analytics and data-driven frameworks into the core of GCO. You will frame and model complex operational scenarios, quantify risks and trade-offs, and challenge assumptions to discover and unlock added value for high-impact R&D projects.

By translating analytical insights into clear, actionable strategies, you will drive decision quality and accelerate the delivery of new medicines to patients.

• Strategic & Facilitative Leadership:
  Partner with GCO’s Decision Analytics team to lead high-stakes strategic discussions with clinical development leadership to frame complex business problems, develop differentiated options, and define clear analytical pathways.
• Synthesize diverse evidence, including empirical data and expert judgment, to construct cohesive decision models that guide strategy.
• Influence key investment and operational decisions by translating complex model outputs into compelling narratives and actionable recommendations for executive audiences.
• Advanced Modeling & Analytics:
  Implement advanced decision models to quantify risk and identify value-add opportunities in study timelines and resource allocation.
• Deliver robust predictive models for critical operational challenges, including patient recruitment, site performance, and milestone attainment, to create value optimal and risk-aware delivery strategies.
• Identify and champion non-obvious value-add opportunities by applying innovative analytical approaches to complex clinical operations challenges.
• Technical Innovation & Capability Development:
  Drive the design and deployment of scalable analytics solutions, including production-ready models, automated monitoring systems, and real-time data pipelines.
• Champion best-in-class Dev Ops practices, including version control (Git), CI/CD pipelines, and automated testing to ensure robust, reproducible, and scalable solutions.
• Train and mentor colleagues on the use of tools, methods, and structured decision frameworks to build organizational capability.

• PhD (preferred) in a quantitative field (e.g., Data Science, Statistics, Computer Science, Operations Research, Decision Analysis) or MSc with equivalent experience in the pharmaceutical or biotech industry.
• Proven expertise designing and building flexible decision models (e.g., Monte Carlo simulation, Bayesian analysis, scenario planning, sensitivity analysis) to quantify risk and value trade-offs.
• Expertise in Python or R with the ability to adapt models.
• Knowledge of the drug development lifecycle and Clinical Operations workflows.
• Track record of leading and mentoring technical teams to deliver data science solutions with measurable business impact.
• Exceptional communication and influencing skills, with the ability to distill complex analyses into compelling recommendations for senior leadership in a matrix environment.