eClinical Solutions

HQ
Mansfield
Total Offices: 2
400 Total Employees
Year Founded: 2012

Teams at eClinical Solutions

Team
Simplifying clinical technology

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.

19 Hours AgoSaved
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Hybrid
Bangalore, Bengaluru Urban, Karnataka, IND
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Cloud • Healthtech • Professional Services • Software • Pharmaceutical
Manage external and local laboratory data throughout clinical trials, serving as the subject matter expert and primary liaison for clients, vendors, and internal teams. Responsibilities include data transfer setup, validation, quality control, normal-range processing, database alignment, issue resolution, study documentation, metrics, reporting, training, and process improvement while ensuring ICH/GCP, regulatory, and data-integrity standards.
2 Days AgoSaved
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Remote or Hybrid
United States
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Cloud • Healthtech • Professional Services • Software • Pharmaceutical
Lead strategic data management for assigned client portfolios: set data standards, optimize clinical data flows, oversee delivery of data management services, drive process improvements, mentor staff, and liaise with clients to ensure quality, on-time, on-budget results.
3 Days AgoSaved
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Remote or Hybrid
Mansfield, MA, USA
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Cloud • Healthtech • Professional Services • Software • Pharmaceutical
Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.