Clinical Data Analytics Lead at Novartis – London (The Westworks) | Jobyssey

Salary Range:

£49,140.00 - £91,260.00

Job Description Summary

#LI-Hybrid

This role can also be offered on a remote working basis for 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.

Job Description

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 prioritizing 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

Benefits & Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range for role: 49,140.00 - 91,260.00 GBP Annual

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering:

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity and Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

Skills Desired

Clinical Operations, Clinical Trial Process, Clinical Trials, Clinical Trials Analysis, Clinical Trials Operations, Microsoft Power Business Intelligence (BI), Python (Programming Language), R Analytics, R Programming, R Statistics, Statistical Analysis Systems (SAS) Programming, Technology Change, Technology Transformation

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