At a Glance
- Tasks: Transform complex clinical data into actionable insights for clinical trial teams.
- Company: Join Novartis, a leader in life sciences with a focus on innovation.
- Benefits: Hybrid working options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and advanced data quality initiatives.
- 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.
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) and Data Management 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 (e.g. 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
Skills Desired:
- Clinical Operations
- Clinical Trial Process
- Clinical Trials
- Clinical Trials Analysis
- Clinical Trials Operations
- Power BI
- Python (Programming Language)
- R Analytics
- Risk based quality management
- R Programming
- R Statistics
- Statistical Analysis Systems (SAS) Programming
- Technology Change
- Technology Transformation
Clinical Data Analytics Lead in London employer: Novartis
At Novartis, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. As a Clinical Data Analytics Lead, you will have the opportunity to make a significant impact on clinical trials while enjoying flexible hybrid working arrangements and access to advanced data analytics tools. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that values your insights and contributions towards improving patient outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical Data Analytics Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, and think about how your experience aligns with their needs. We want you to shine when it’s your turn to talk!
✨Tip Number 3
Show off your skills! If you’ve got experience with tools like Power BI or Spotfire, be ready to discuss specific projects where you used them. Real examples make a big impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Clinical Data Analytics Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Clinical Data Analytics Lead role. Highlight your experience in clinical data operations and any relevant tools like Power BI or Spotfire. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've transformed complex data into actionable insights in previous roles. Let your personality shine through!
Showcase Your Data Storytelling Skills:Since this role involves translating complex data into clear narratives, include examples of how you've done this in the past. We love seeing how you can make data relatable and impactful for stakeholders.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Novartis
✨Know Your Data Inside Out
Make sure you’re well-versed in the clinical data analytics landscape. Brush up on your knowledge of data visualisation tools like Power BI and Spotfire, and be ready to discuss how you've used them to uncover trends and insights in past roles.
✨Master the Art of Data Storytelling
Prepare to showcase your ability to translate complex data into clear narratives. Think of examples where your insights have influenced decision-making and be ready to explain how you approached those situations.
✨Collaborate Like a Pro
This role requires strong collaboration with various teams. Be prepared to discuss how you’ve driven collaboration in previous positions, particularly with Data Quality Teams and Central Monitoring Leads, to enhance data strategy and patient safety.
✨Showcase Your Operational Excellence
Highlight your experience in driving operational excellence within clinical trials. Have specific examples ready that demonstrate your ability to implement risk-based analytics and improve data quality, as well as any initiatives you've led that accelerated study cycle times.
