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 excellence.
- 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
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 employer: Novartis Farmacéutica
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 in London, you will have the opportunity to make a meaningful impact on patient outcomes while enjoying a hybrid working arrangement that promotes work-life balance. With a strong focus on employee development and access to cutting-edge data analytics tools, Novartis is committed to supporting your professional growth in a vibrant and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical Data Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their values, and be ready to discuss how your experience aligns with their needs. We want you to shine, so practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve worked on any relevant data analytics projects, be sure to highlight them during interviews. We love seeing real examples of how you’ve turned complex data into actionable insights!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are ready to make a difference in clinical data analytics.
We think you need these skills to ace Clinical Data Analytics Lead
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 align with 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 passion for improving patient outcomes shine through!
Showcase Your Data Storytelling Skills:Since this role involves translating complex data into clear narratives, make sure to include examples of your data storytelling abilities. We love seeing how you can make data relatable and impactful for stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us that you're serious about joining our team at Novartis!
How to prepare for a job interview at Novartis Farmacéutica
✨Know Your Data Inside Out
As a Clinical Data Analytics Lead, you'll need to demonstrate your expertise in clinical data operations. Brush up on your knowledge of clinical trials, data management, and analytics tools like Power BI and Spotfire. Be ready to discuss specific examples where you've transformed complex data into actionable insights.
✨Showcase Your Storytelling Skills
Data storytelling is crucial in this role. Prepare to explain how you've previously translated complex data into clear narratives for stakeholders. Use real-life examples to illustrate your ability to communicate insights effectively and influence decision-making.
✨Emphasise Collaboration
Collaboration is key in this position. Think of instances where you've worked with cross-functional teams, especially in enhancing data quality or implementing risk-based approaches. Highlight your experience in driving operational excellence and how you can foster teamwork in the new role.
✨Prepare for Technical Questions
Expect technical questions related to data quality initiatives, programming languages, and regulatory compliance. Brush up on your knowledge of EDC systems, data standards, and any relevant technologies. Being well-prepared will show your depth of understanding and readiness for the challenges ahead.
