Company

Healthcare

ClinicalDataAnalyticsLead

₹25–45L ~AI est. India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“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.

Healthcare
Problems you'll solve

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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