Associate Director, Clinical Operations Decision Analytics

GSK; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

GSK in the United Kingdom seeks a leader in clinical operations decision analytics to design data-driven tools and predictive models, collaborating with cross‑functional teams across operations, data science, biostatistics and technology partners.

The role offers strong career growth, hybrid working in the UK HQ, and the opportunity to influence large programmes while ensuring analytics meet regulatory and governance standards.

Qualifications

• Degree in statistics, data science, epidemiology, life sciences, mathematics, computer science, or related field, or equivalent experience.
• Deep experience in analytics and consulting roles supporting clinical operations, clinical development or related healthcare areas.
• Practical experience building predictive models or optimisation algorithms using Python, R, or similar tools.
• Strong knowledge of clinical trial processes, operational metrics and study lifecycle stages.
• Proven experience working with clinical and operational data sources and common data standards.
• Experience leading cross-functional projects and influencing senior stakeholders in a matrix environment.

Responsibilities

• Define priorities and roadmaps for clinical operations decision analytics that align with study and portfolio goals.
• Work with clinical operations leads to identify high-impact use cases and measure the value of analytics interventions.
• Build robust predictive models and operational metrics that are explainable and actionable for non-technical stakeholders.
• Drive implementation of analytics into operational workflows and digital tools, working with tech teams to productionise solutions.
• Provide timely, clear reporting and recommendations to senior leaders to support decision making.
• Mentor team members, set clear objectives, and create a collaborative environment focused on delivery and learning.

Skills

Decision analytics

Python/R

Cross-functional collaboration

Stakeholder influence

Data visualization

Education

Degree in statistics or related field

Tools

Python

R

EDC/CTMS

Job description

Closing Date 22nd September 2026 (COB)

Business Introduction

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting‑edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.

Find out more:

Our approach to R&D

Position Summary

You will lead decision analytics for clinical operations across global studies. You will design and deliver data‑driven tools, models and insights that improve trial planning, execution and resource use. You will work closely with clinical operations, data science, biostatistics and technology partners. We value clear thinkers who lead with empathy, communicate simply, and build trusted partnerships. This role offers strong career growth, the chance to influence large, complex programmes, and the opportunity to help GSK unite science, technology and talent to get ahead of disease together.

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

• Lead development and delivery of analytics and decision‑support solutions for clinical operations planning and optimisation.
• Translate operational needs into data models, dashboards and predictive algorithms that improve trial timelines, cost and quality.
• Partner with cross‑functional teams to embed analytics into study design, site selection, patient recruitment and monitoring processes.
• Oversee end‑to‑end analytics projects, from requirements and data sourcing to model validation and deployment.
• Coach and grow a small team of analysts and data scientists, promoting clear communication and practical solutions.
• Ensure analytics follow regulatory, privacy and governance standards and support audit readiness.

Responsibilities

• Define priorities and roadmaps for clinical operations decision analytics that align with study and portfolio goals.
• Work with clinical operations leads to identify high‑impact use cases and measure the value of analytics interventions.
• Build robust predictive models and operational metrics that are explainable and actionable for non‑technical stakeholders.
• Drive implementation of analytics into operational workflows and digital tools, working with tech teams to productionise solutions.
• Provide timely, clear reporting and recommendations to senior leaders to support decision making.
• Mentor team members, set clear objectives, and create a collaborative environment focused on delivery and learning.

Why You?

We are seeking professionals with the following required skills and qualifications to help us achieve our goals.

Basic Qualification

• Degree in statistics, data science, epidemiology, life sciences, mathematics, computer science, or related field, or equivalent experience.
• Deep experience in analytics and consulting roles supporting clinical operations, clinical development or related healthcare areas.
• Practical experience building predictive models or optimisation algorithms using Python, R, or similar tools.
• Strong knowledge of clinical trial processes, operational metrics and study lifecycle stages.
• Proven experience working with clinical and operational data sources and common data standards.
• Experience leading cross‑functional projects and influencing senior stakeholders in a matrix environment.

Preferred Qualification

If you have the following characteristics, it would be a plus.

• Advanced degree (MSc/PhD) in a quantitative or clinical discipline.
• Hands‑on experience with machine learning techniques applied to operational or time‑to‑event problems.
• Familiarity with clinical trial systems and data (e.g., EDC, IRT/IXR, CTMS) and integrating those sources into analytics.
• Experience with cloud platforms, containerisation, or CI/CD for analytics deployment.
• Prior people management experience and a track record of developing analytical teams.
• Experience in regulated environments with good understanding of validation, documentation and audit needs.
• Experience in pharmaceutical strategy consulting environments.

Working pattern

This role is hybrid based in the United Kingdom at GSK HQ. You will combine regular office presence with flexible remote working. We will discuss specific expectations during the recruitment process.

What we offer

You will join a collaborative team focused on meaningful outcomes for patients and science. You will gain exposure to global programmes, advanced analytics methods, and opportunities to grow as a leader. We are committed to inclusion and to creating a workplace where everyone can contribute and succeed.

Skills

Agile Methodology, Customer Feedback Management, Data Governance, Data Visualization, Feature Prioritization, Generative AI, Platform Development, Product Design, Product Development, Product Lifecycle Management (PLM), Product Roadmapping, Usability Testing, User Experience (UX), User Experience (UX) Design, User Needs Analysis

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at [e-mail] where you can also request a call.

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive