Subject Matter Expert (SME) - Microsoft Clinical Data Manager (IND)
LearningMate · India
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We are seeking a Subject Matter Expert (SME) to develop and maintain high-quality online course content for the Microsoft Professional Certificate in Clinical Data Management. The ideal candidate possesses deep expertise in clinical trial data cleaning, query management, CDISC/SDTM standards, healthcare data governance, and AI-assisted workflows, combined with a genuine passion for teaching and dynamic on-camera instruction.Roles & Responsibilities :Discovery & Alignment: Validate Job Task Analysis (JTA) documents, Coursera In-Demand Topic (IDT) frameworks, and Program Architectures to ensure content directly aligns with industry standards for intermediate clinical data managers.Content Development & AI Augmentation: Create comprehensive instructional materials including case report form (CRF) review guides, data validation specs, and query escalation plans. Substantively enhance AI-generated drafts with first-hand clinical trial scenarios, lab/safety reconciliation, edit checks, and real practitioner context.Core Technical Instruction: Develop content across data cleaning in Power Query, clinical trial KPI reporting in Power BI, CDISC/SDTM metadata mapping, Azure Health Data Services ingestion, Purview governance, and Copilot prompt flows.Activity Testing & Lab Validation: Complete all learner activities end-to-end as a student across Microsoft Fabric, Azure Health Data Services, Power BI, Excel, Purview, Copilot, and Azure OpenAI to verify platform feasibility, UI accuracy, timing, and dataset integrity.Assessment Design & AI Audit: Design technical quizzes, data query drafting evaluations, and capstone projects. Formulate rubrics to evaluate data cleaning rigor, transformation precision, CDISC/SDTM literacy, and human-in-the-loop responsible AI auditing.Multimedia & Video Production: Appear on camera to lead instructional video modules and data walkthroughs, while building synthetic clinical trial datasets, query response templates, and Copilot prompt libraries for student labs.Governance & Safeguards: Enforce strict patient privacy and data isolation rules, ensure all case studies rely on anonymized or synthetic data, eliminate real PHI exposure, and integrate Microsoft Responsible AI healthcare compliance principles.Review, QA & Collaboration: Provide actionable in-line feedback and proposed fixes in shared documents, partnering closely with Instructional Designers, Clinical SMEs, and production teams while upholding Microsoft brand and AI governance guidelines.Qualifications & Experience :Required:5–8 years in Clinical Data Management, Clinical Trial Operations, Health Analytics, or Bio-informatics, with 3+ years managing trial data cleaning and query lifecycles.2+ years of hands-on experience incorporating modern data tools (Power BI, Power Query, Fabric) and AI workflows into clinical data processes.Demonstrated capability in CDISC/SDTM clinical data standards, query management, and healthcare data governance.Dynamic on-camera presentation capabilities to record instructional video modules with authentic conviction.Bachelor's degree in Clinical Research, Health Informatics, Life Sciences, Computer Science, Statistics, or related field (8+ years of relevant leadership accepted in lieu).Preferred:Master's degree (MS in Clinical Research Administration, Health Informatics, Biostatistics, or Data Analytics).Background in corporate training, university instruction, or creating educational public video content.Certification (Required/Preferred) :Certified Clinical Data Manager (CCDM) via SCDM (Preferred)Microsoft Certified: Power BI Data Analyst Associate (PL-300) / Fabric Analytics Engineer Associate (DP-600) (Preferred)