Clinical Data Analytics Lead
Company: Novartis
Job ID: REQ-10078036
Department: Development
Functional Area: Research & Development
Primary Location: Hyderabad
Alternative Location: Mumbai
Employment Type: Full-time, Regular
Posted Date: 25 May 2026
Job Summary
The Clinical Data Analytics Lead role at Novartis is responsible for leading clinical data analytics strategy, risk-based data review initiatives, and advanced analytical solutions that improve clinical data quality, operational efficiency, and patient safety.
The position focuses on enabling data-driven decision-making through innovative analytics, AI adoption, automation, and collaboration across Clinical Data Operations (CDO), Central Monitoring, and Risk-based Quality Management (RbQM) teams.
Key Responsibilities
1. Clinical Data Analytics & Insights
Support:
Data Management (DM) Leads
Data Quality Teams (DQT)
in generating:
Planned data insights
Ad-hoc analytics
Operational intelligence
Translate complex clinical and operational data into actionable recommendations for stakeholders.
2. Risk-Based Data Review & Quality Management
Partner with:
Central Monitoring (CM)
Risk-based Quality Management (RbQM) teams
to promote risk-based data review strategies.
Contribute to:
Exploratory data quality management plans
Data review optimization
Critical-to-quality (CtQ) risk identification
Enhance:
Data quality
Site experience
Patient safety outcomes
3. Analytics Solution Design & Deployment
Lead end-to-end design and implementation of:
Clinical analytics solutions
Reporting frameworks
Data review tools
Support deployment of user-friendly tools for:
Data discrepancy detection
Anomaly identification
Operational monitoring
Improve analytical workflows and solution performance continuously.
4. AI, Automation & Innovation
Promote responsible adoption of:
Artificial Intelligence (AI)
Machine Learning (ML)
Automation technologies
Develop:
Proof-of-concepts (PoCs)
AI-enabled analytics solutions
Scalable innovation initiatives
Support production deployment of approved AI use cases.
5. Cross-functional Collaboration & Strategy
Drive collaboration across:
Clinical Data Operations
Data Quality teams
Monitoring teams
Clinical stakeholders
Use expertise in:
Disease areas
Protocol design
Data standards
to improve data strategy and operational execution.
6. Documentation & Continuous Learning
Develop and maintain:
Technical documentation
Analytics methodologies
Process guidelines
Stay updated on:
Emerging technologies
Data analytics trends
AI innovations
Industry best practices
Foster a culture of innovation and continuous improvement.
Required Qualifications
Experience
Strong experience in:
Clinical Data Management
Clinical data analytics
Risk-based Quality Management (RbQM)
Pharmaceutical or clinical research environments
Proven track record in:
Operational excellence
Clinical analytics strategy
Cross-functional collaboration
Required Technical Skills
Clinical Data & Regulatory Expertise
Expertise in:
Electronic Data Capture (EDC) systems
Data hubs
Metadata management tools
Strong understanding of:
CDISC standards
SDTM
ADaM
Regulatory frameworks
Data governance principles
Analytics & Programming
Experience with:
Power BI
Tableau
SAS
R
Python
Ability to:
Analyze large datasets
Build analytics solutions
Communicate insights effectively
AI & Automation
Exposure to:
AI/ML technologies
Automation tools
Cloud-based analytics solutions
Understanding of responsible AI implementation practices.
Required Competencies
Analytical & Problem-solving Skills
Strong capability to:
Detect data anomalies
Identify operational risks
Generate actionable insights
Ability to support data-driven decision-making.
Communication & Stakeholder Management
Strong communication and presentation skills.
Ability to explain complex analytics findings clearly to technical and non-technical stakeholders.
Experience collaborating with global and cross-functional teams.
Innovation & Continuous Improvement
Proactive mindset toward:
Process optimization
Technology adoption
Innovation initiatives
Commitment to continuous learning and operational excellence.
Working at Novartis
Novartis is a global healthcare company focused on reimagining medicine through scientific innovation, advanced technology, and patient-centered healthcare solutions.
Employees gain opportunities to:
Work on impactful healthcare innovations
Collaborate globally
Develop expertise in advanced analytics and AI
Contribute to improving patient outcomes worldwide
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