At a Glance
- Tasks: Transform complex clinical data into actionable insights for clinical trial teams.
- Company: Join Novartis, a leader in innovative healthcare solutions.
- Benefits: Hybrid working, competitive salary, and opportunities for personal and professional growth.
- Other info: Collaborative environment focused on innovation and community support.
- Why this job: Make a real impact on patient outcomes through data-driven decision-making.
- Qualifications: 10-12 years in clinical data operations with strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
This role can also be offered on a remote working basis for the UK, subject to eligibility criteria.
Location: Westworks, London, United Kingdom. Other Locations: Dublin, Ireland. This role is based in London, United Kingdom. Novartis is unable to offer relocation support: please only apply if accessible. Novartis cannot sponsor visas for these locations. This role is also available in Dublin, Ireland. Please apply to the advertisement for this location. For London, we offer a Hybrid working arrangement with an expectation of 12 days per month onsite. Remote working arrangement can be considered, subject to eligibility criteria. If your location is only suitable for remote work this can be discussed during the interview process.
About The Role: Step into a role where your insight can directly improve the way clinical trials are understood, managed, and advanced. As Clinical Data Analytics Lead, you will turn complex clinical trial data into clear, meaningful stories that help teams act earlier, think smarter, and raise the quality of decisions across Clinical Data Operations. Working at the intersection of analytics, data quality, and trial execution, you will help uncover patterns, trends, and opportunities that strengthen study oversight, support risk-based approaches, and bring fresh, actionable insight to the teams shaping patient outcomes.
Key Responsibilities:
- Transform complex clinical data into intelligent, actionable insights that inform decision‑making across Clinical Trial Teams.
- Drive collaboration across Data Quality Teams to enhance data strategy, data quality, site experience, and patient safety utilizing the Disease Area, Data Standards & Protocol Knowledge.
- Partner with Central Monitoring (CM) Leads to promote risk‑based data review approaches within CDO.
- Leverage data analytics and visualisation tools such as Power BI and Spotfire to uncover trends, patterns, and emerging risks.
- Contribute to advanced data quality initiatives such as anomaly detection and continuous improvement of insight generation capabilities.
- Drive risk‑based analytics by proactively identifying Critical‑to‑Quality (CtQ) risks and prioritising data review through advanced analytical approaches.
- Implement operational interventions that enhance data quality and accelerate study cycle times.
Essential Requirements:
- Extensive experience in clinical data operations within clinical trials, with strong understanding of clinical trial delivery. Ideally a minimum of 10‑12 years working experience in a Life Sciences environment with extensive exposure to Clinical Trials and Clinical Operations.
- Proven track record in driving operational excellence within pharmaceutical or clinical research environments.
- Proven industry‑based experience in clinical data management, clinical programming, RbQM, analytics, and technology transformation.
- Strong ability to generate intelligent, data‑driven insights and influence decision‑making across clinical teams.
- Experience using data visualisation tools such as Power BI, Spotfire, or similar platforms to uncover trends and insights.
- Demonstrated capability in data storytelling, translating complex data into clear, impactful narratives for stakeholders.
- Knowledge of technology transformation, including automation, cloud platforms, and business intelligence tools, with awareness of programming languages such as SAS, R, or Python.
- Strong understanding of clinical data technologies such as EDC, clinical data hub, statistical computing environment, metadata management tools, J‑Review, data standards such as Clinical Data Interchange Standards (Consortium Study Data Tabulation Model and Analysis Data Model), and regulatory compliance and data governance requirements.
- Fluent written and verbal English essential.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Clinical Data Analytics Lead in London employer: Novartis UK
At Novartis, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Clinical Data Analytics Lead based in London, you will enjoy the flexibility of hybrid working arrangements, alongside opportunities for professional growth and development within a supportive community dedicated to improving patient outcomes. With access to cutting-edge data analytics tools and a commitment to operational excellence, you'll be empowered to make a meaningful impact in the field of clinical trials.
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We think you need these skills to ace Clinical Data Analytics Lead in London
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