Jobs at eClinical Solutions

Lead elluminate implementation projects across the lifecycle using PMI methodologies. Manage multiple software implementation projects, maintain documentation, mitigate risks, align resources, manage budgets and client expectations, drive platform adoption, and deliver on-time, on-budget, in-scope technical services and integrations for life sciences clients.

The Manager, Operational Excellence is responsible for driving transformation initiatives by optimizing processes, implementing AI solutions, and ensuring IT service management aligns with best practices.

Partner with customers to transition from implementation to self-sufficient operations by driving adoption, governance, SOPs, and enablement for elluminate across clinical data management, analytics, and regulatory use cases. Advise on processes, deliver training, define KPIs, mitigate adoption risks, and support renewals and expansion through demonstrated value realization.

The Data Engineer will optimize the elluminate® platform for clinical data through coding, ETL processes, and deliver client-focused solutions while ensuring compliance with industry standards.

The Director of Clinical Data Management leads strategic direction for the CDM organization, ensuring quality data management services, enhancing processes, and fostering client relationships while modernizing capabilities with innovative technologies.

As a Senior UI Software Engineer, you'll lead front-end development, design user experiences, mentor junior engineers, and integrate AI capabilities into products.

Lead end-to-end statistical programming for clinical studies: develop and validate SDTM/ADaM datasets, create TLFs, define.xml and submission packages, ensure regulatory compliance, collaborate with cross-functional teams, and use SAS/R and AI tools to automate and optimize outputs.

Develop and validate SDTM/ADaM datasets, TLFs, and submission-ready outputs using SAS (and R) per CDISC and regulatory standards. Collaborate cross-functionally, maintain documentation, automate processes, and ensure compliance for clinical trial reporting.

Manage delivery of biometrics and clinical trial projects: create timelines, run meetings, align stakeholders, track scope and finances, manage risks/escalations, support audits and client requests, and ensure compliance with industry standards and SOPs.

Lead design and implementation of scalable, secure clinical data and analytics web applications; own core platform modules; integrate LLMs/AI into .NET and Python systems; influence architecture and engineering standards; mentor engineers; troubleshoot distributed systems; ensure regulatory compliance and quality while collaborating with product, QA, data, and platform teams.

The Principal Full Stack Software Engineer will design, develop, and mentor teams in building scalable web applications, influencing architecture and engineering standards in AI and cloud technologies.

The Senior Software Engineer will design and develop core modules for an AI-enabled platform, collaborating across teams and mentoring others in a fast-paced environment.

Coordinate AI Governance Council and ePMO activities: manage AI use case intake and tracking, facilitate cross-functional governance reviews, prepare agendas and decision materials, maintain governance repositories and logs, monitor metrics, support portfolio reporting, and drive PMO process and automation improvements.

Own and optimize the data layer for a cloud clinical data platform: manage SQL Server, Databricks, and document databases; tune performance; design schemas and queries; perform migrations, backups, and recovery; ensure security and compliance for regulated data; support developers and document best practices.

Design, build, test, and maintain Medidata Rave clinical databases (CRFs, edit checks, derivations, reports). Act as MCC/EDC SME, perform peer reviews, ensure build standards and deliverables for study teams, and advise stakeholders on best practices.

Architect and evolve enterprise test automation frameworks and infrastructure, lead migration to modern testing platforms, implement AI-assisted testing workflows, automate web and API tests using Playwright with C#/.NET, validate data via SQL, build ephemeral containerized test environments, integrate CI/CD, mentor SDET teams, and drive shift-left and distributed test execution strategies.

The Senior Data Scientist will design and implement AI-enabled products using clinical trial data, mentor team members, and collaborate with stakeholders.

Manage client relationships and deliver instructional design and training (instructor-led, virtual, e-learning). Assess needs, develop courses and documentation using authoring tools, ensure quality and compliance, and oversee related project management activities.

The Sr Data Engineer I will provide consulting services for clinical systems, manage projects, and design SQL code for data reporting and analytics while ensuring compliance with industry standards.

The QC Specialist ensures quality control for Biometrics deliverables, conducts reviews, manages documentation, trains staff, and collaborates on project deliverables.