eClinical Solutions’ elluminate® Clinical Data Cloud offers a platform to streamline clinical and operational data for life sciences companies. Elluminate combines data management, analytics and insights with AI and machine learning to automate manual processes. The platform integrates with the Medidata Clinical Cloud and is ready to work with data from many other systems and physiological sensors, removing the risks of multi-step data handling. “There is plenty of challenging work and problem-solving to do as we expand our elluminate platform,” said CTO and elluminate creator Sam Anwar. As studies continue to grow in complexity, elluminate provides a solution to improve the quality of clinical data for all stakeholders.
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Cloud • Healthtech • Professional Services • Software • Pharmaceutical
Leads an eLearning team developing, maintaining, and optimizing self-paced digital learning content for a clinical data platform. Owns content strategy, roadmaps, production workflows, quality standards, analytics, accessibility, and learning outcomes. Collaborates with subject matter experts, product teams, stakeholders, and external partners to translate complex concepts into effective training. Uses AI and emerging technologies to improve development and personalization, while mentoring team members and incorporating learner feedback.
Cloud • Healthtech • Professional Services • Software • Pharmaceutical
Lead hands-on development of scalable full-stack web applications and core platform services for a clinical data and analytics platform. Influence architecture, engineering standards, security, reliability, and maintainability; mentor engineers; resolve distributed-system production issues; and collaborate across product and QA. Integrate LLMs, AI-assisted workflows, and agentic patterns into secure .NET and Python enterprise systems while supporting documentation, compliance, and the full software development lifecycle.
Cloud • Healthtech • Professional Services • Software • Pharmaceutical
Manages clinical data throughout the study lifecycle, including protocol conversion, database builds, CRF design, data review, query management, reporting, and quality control. Collaborates with sponsors, clinical operations, biostatistics, programming, and technical teams to configure data-cleaning strategies, monitor KPIs, identify risks, and ensure compliant, timely deliverables. Provides project leadership, develops study documentation, performs trending analysis, and supports continuous process improvement.
