Clinical Data Analytics Lead

Novartis

Job Location:

Dublin - Ireland

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Job Description Summary

#LI-Hybrid

Location: Dublin Ireland
Other Locations: Westworks London UK

This role is based in Dublin Ireland. Novartis is unable to offer relocation support: please only apply if accessible. Novartis cannot sponsor visas for these locations.

We operate Hybrid working in Ireland with the expectation of 12 days a month onsite.

This role is also available in Westworks London UK. Please apply to the advertisement for this location.

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 riskbased 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

Skills Desired

Business Intelligence (BI) Business Intelligence (BI) Classification Systems Clinical Operations Clinical Trials Clinical Trials Analysis Clinical Trials Operations Computer Data Storage Computer Programming Cross-Functional Teams Data Analysis Data Analytics Data Insights Data Quality Data Structures Initiative powerbi Programming Languages Python (Programming Language) R Analytics Reporting risk based quality management R Programming R Statistics SAS Statistics 1 more

Job Description Summary#LI-HybridLocation: Dublin IrelandOther Locations: Westworks London UKThis role is based in Dublin Ireland. Novartis is unable to offer relocation support: please only apply if accessible. Novartis cannot sponsor visas for these locations.We operate Hybrid working in Ireland w...

Job Description Summary

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 riskbased 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

Skills Desired