At a Glance
- Tasks: Lead analytics for clinical operations and design data-driven tools to enhance trial efficiency.
- Company: Join GSK, a global biopharma leader with a mission to impact 2.5 billion lives.
- Benefits: Enjoy a hybrid work model, career growth opportunities, and a collaborative team environment.
- Other info: Be part of a culture that values ambition, accountability, and doing the right thing.
- Why this job: Make a real difference in healthcare by influencing large-scale clinical programmes.
- Qualifications: Degree in a relevant field and experience in analytics within clinical operations.
The predicted salary is between 75600 - 92400 £ per year.
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.
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.
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- 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.
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.
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.
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.
If this role excites you, please apply. In your CV or cover letter, tell us how your experience maps to the responsibilities above and what impact you would like to make in this role. We look forward to hearing from you.
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.
Associate Director, Clinical Operations Decision Analytics employer: GlaxoSmithKline
GlaxoSmithKline is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture where collaboration and innovation thrive. With a hybrid working model based in the UK, employees benefit from flexible working arrangements while contributing to meaningful projects that enhance patient safety globally. The company fosters a supportive environment that encourages continuous learning and professional advancement, making it an ideal place for those passionate about making a difference in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director, Clinical Operations Decision Analytics
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We think you need these skills to ace Associate Director, Clinical Operations Decision Analytics
Some tips for your application 🫡
Showcase Your Relevant Experience:When applying for a role in the pharmaceutical industry, it's crucial to highlight any relevant experience you have. Whether that's internships, lab work, or even related coursework, make sure to weave this into your CV and cover letter. We want to see how your background aligns with the role you're applying for at GlaxoSmithKline!
Emphasise Your Understanding of Regulations:The pharmaceutical industry is heavily regulated, so it's important to indicate your familiarity with industry standards and regulations. In your cover letter, mention any training or certifications you've received that are relevant, or discuss projects where you’ve navigated compliance. This will show GlaxoSmithKline that you're not just a fit for the job but also a safety-conscious candidate!
Tailor Your CV to Be Result-Driven:Craft your CV to highlight quantifiable achievements, especially if you have previous roles in pharmaceuticals or related fields. Use metrics to demonstrate your impact, such as improved processing times or successful project completions while working on trials. This analytical approach will resonate well with hiring managers at GlaxoSmithKline!
Convey Your Passion for the Industry:In your cover letter, express why you are passionate about working in the pharmaceutical sector. Whether it’s your desire to contribute to groundbreaking drug research or improve patient outcomes, let it shine through! At GlaxoSmithKline, we value candidates who are truly enthusiastic about their work—you might just stand out from the crowd.
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✨Understand the Science
Make sure you brush up on key pharmaceutical concepts and recent developments in the industry. You might get asked some technical questions during the interview at GlaxoSmithKline that show your grasp of drug development processes or regulatory requirements, so be ready to discuss them clearly.
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If you have any hands-on experience or internships in a laboratory setting, be sure to highlight these in your responses. Think about the projects you worked on, the methodologies you used, and the impact you made. It's all about telling a story that connects your background to the role you're applying for.
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