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Tech Stack
Tools & technologiesCloudPythonTableau
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Strong experience in clinical data management with expertise in RbQM, analytics, and driving operational excellence in pharma/clinical research.
- Proficiency in clinical data technologies (EDC, data hubs, metadata tools), standards (CDISC SDTM/ADaM), and regulatory/data governance frameworks.
- Exposure to AI/ML, automation, cloud, BI tools (Power BI, Tableau), and programming (SAS, R, Python) with strong ability to translate complex insights into clear stakeholder communication.
Benefits
Comp & perks- Flexible working hours
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
clinical data managementRbQManalyticsoperational excellenceEDCdata hubsmetadata toolsCDISC SDTMCDISC ADaMSAS
Soft Skills
cross-functional collaborationstakeholder communicationinnovationcontinuous learningdata review solution advising