Company
Healthcare
ClinicalDataAnalyticsLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Clinical Data Analytics Lead. Skills: Clinical data analytics, Data insights, AI adoption. Support DM Leads and Data Quality Teams. Derive clinical and operational data insights”
What You'll Achieve.
Advance risk-based insights; Boost operational efficiency; Ensure high-quality data outcomes
Industry & Context.
Data analysis; Data quality management
What They're Looking For.
Must Have
experience in clinical data management, expertise in RbQM, expertise in analytics, driving operational excellence in pharma/clinical research, Proficiency in clinical data technologies, Proficiency in metadata tools, Proficiency in standards (CDISC SDTM/ADaM), Proficiency in regulatory/data governance frameworks, Exposure to AI/ML, Exposure to automation, Exposure to cloud, Exposure to BI tools (Power BI, Tableau), Exposure to programming (SAS, R, Python), ability to translate complex insights into clear stakeholder communication
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Support DM Leads and Data Quality Teams
Derive clinical and operational data insights
Articulate clinical and operational data insights
Drive cross-functional collaboration
Enhance data strategy
Enhance site experience
Enhance patient safety
Partner with Central Monitoring leads
Partner with Risk-based Quality Management leads
Promote risk-based data review approaches
Act as a data review solution advisor
Translate complex insights into actionable recommendations
Contribute to exploratory data quality management plans
Enable detection of data discrepancies
Enable detection of data anomalies
Support deployment of analytical tools
Promote responsible AI adoption
Develop proof-of-concepts (PoCs)
Support product ionization of approved use cases
Identify opportunities to optimize analytics processes
Improve solution performance
Stay current with emerging technologies
Stay current with trends in data analytics
Stay current with trends in automation
Stay current with trends in AI
Stay current with best practices in data analytics
Stay current with best practices in automation
Stay current with best practices in AI
Develop technical documentation
Maintain technical documentation
Foster a culture of innovation
Foster a culture of continuous learning
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with Central Monitoring; Partner with RbQM leads; Collaborate with DQT
Communication Scope
Stakeholder communication
Full Job Description
**Job Description Summary** Drive cross-functional strategy for clinical data analytics and solutions that advance risk-based insights, boost operational efficiency by focusing on critical to quality, and ensure high-quality data outcomes for Clinical Data Operations (CDO) for the assigned portfolio. Lead the end-to-end design, and implementation of innovative clinical data analytics & reporting solutions, partnering closely with key stakeholders to enable data-driven decision-making and continuous improvement across the organization. **Job Description** **Key Responsibilities** * Support DM Leads and Data Quality Teams (DQT) in deriving and articulating both planned and ad-hoc clinical and operational data insights. * Drive cross-functional collaboration to enhance data strategy, quality, site experience, and patient safety using disease area, protocol, and data standards expertise. * Partner with Central Monitoring (CM) and Risk-based Quality Management (RbQM) leads to promote risk-based data review approaches. * Act as a data review solution advisor, translating complex insights into clear, actionable recommendations for stakeholders. * Contribute to exploratory data quality management plans in collaboration with DQT. * Enable detection of data discrepancies and anomalies by supporting deployment of user-friendly analytical tools. * Promote responsible AI adoption, develop proof-of-concepts (PoCs), and support product ionization of approved use cases. * Identify opportunities to optimize analytics processes and improve solution performance. * Stay current with emerging technologies, trends, and best practices in data analytics, automation, and AI. * Develop and maintain technical documentation while fostering a culture of innovation and continuous learning. **Minimum Requirements** * Strong experience in clinical data management with expertise in RbQM, analytics, and driving operational excellence in pharma/clinical research. * Proficiency in clinical data techno
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