eClinical Solutions

SDET

• Design, build, and maintain scalable automated test frameworks covering UI, API, integration, and performance layers across AWS-based .NET services
• Expand and refactor the existing automated test suite to increase coverage, reliability, and execution speed
• Leverage AI and agentic AI tools to generate, enhance, and maintain automated tests, systematically reducing manual regression testing
• Integrate automated tests into CI/CD pipelines to enforce quality gates and support rapid, high-confidence releases
• Analyze test results, investigate failures, and partner with engineers to diagnose and resolve defects across distributed systems
• Collaborate closely with developers and DevOps engineers to ensure new features are designed with testability, observability, and automation in mind
• Continuously improve test data management, environment configuration, and reproducibility of test runs
• Identify automation gaps and propose improvements that increase release cadence and reduce risk
• Actively participate in architectural discussions, sprint planning, backlog grooming, and milestone reviews; partner with Engineering Leads to define scope, technical approach, deliverables, and quality criteria for upcoming releases
• Contribute to documentation, standards, and best practices that elevate quality engineering across the organization
• Ensure audit readiness by maintaining complete, traceable documentation in alignment with SOPs and Quality Management System (QMS)
• Collaborate with DevOps and Cloud teams to optimize infrastructure scalability, reliability, and performance within compliance constraints
• Support defect triage, root cause analysis, CAPA processes, and continuous improvement initiatives
• Other duties as assigned

Senior AI-Enabled Software Engineer – Test

DevOps Engineer

• Design, develop, test, and deploy scalable, secure, and highly interactive web applications
• Own and evolve core platform modules
• Influence application and system architecture
• Lead by example through clean, well-tested code
• Collaborate closely with Product Management, QA, and other engineers
• Provide technical mentorship and guidance to other engineers
• Diagnose and resolve complex production issues
• Ensure solutions meet eClinical Solutions quality standards

Senior DevOps Software Engineer

Product Manager

• Lead AI Strategy & Vision Across Product Lines
• Define and champion the cross-product strategy for AI capabilities within the elluminate platform
• Identify use cases where machine learning, NLP, and generative AI can revolutionize data workflows, insights, and automation
• Drive Innovation from Concept to Launch
• Lead product discovery and experimentation to validate AI-driven concepts with users and stakeholders
• Collaborate with UX to design intuitive and trustworthy user experiences that maximize the value of AI.
• Mentor, Influence, and Inspire
• Coach Product Managers and Product Owners working on AI-related capabilities to ensure aligned execution and shared standards
• Measure Success & Deliver Value
• Define outcome-driven success metrics that go beyond model performance—focused on business impact and user adoption

Principal Product Manager, AI

Analyst

• Develop, maintain, and optimize billing and revenue recognition rules for client services and licensing contracts in accordance with ASC 606
• Prepare, review, and issue customer invoices across multiple billing models
• Perform detailed contract reviews to ensure billing terms are accurately reflected in NetSuite
• Reconcile contract financials, including amounts billed to date, deferred and recognized revenue
• Support month-end close activities, contract closeouts, and internal and external audits
• Leverage NetSuite saved searches, SuiteAnalytics, and reporting tools to analyze billing and revenue data
• Utilize approved AI-enabled productivity and analytics tools to support reconciliations, variance analysis, and forecasting
• Identify opportunities to streamline or automate billing and revenue workflows
• Collaborate with Accounts Receivable, Project Management, and other stakeholders to resolve billing inquiries

Senior Billing and Revenue Analyst

Manager

• Determine resourcing needs per project load, deadline requirements and resource utilization
• Create or review and approve programming plans at study and project level
• Provide input on key study-related documents produced by other functions
• Responsible for developing and maintaining programming and validation specifications for TLGs
• Create and maintain SAS programs to produce outputs to support the analysis and reporting of clinical trials
• Assist Biostatisticians by suggesting algorithms to address novel analysis requests
• Develop analysis datasets for trial level reporting and integrated safety and efficacy activities
• Program and QC data listings, summaries and Graphs as defined in SAP
• Develop re-usable utility macros to build a macro library
• Create submission-ready SDTM and ADaM datasets
• Perform peer review of all SAS Programmers’ deliverables
• Serve as Subject Matter Expert for Statistical deliverables
• Collaborate with the project team and other Professional Services Managers
• Develops and maintains good working relationships with internal cross functional teams and Clients
• Develops, revises, and maintains Standard Operating Procedures and Work Instructions
• Maintain all project documentation as required by SOP and Processes
• Ensure compliance with eClinical Solutions and industry quality standards, guidelines and procedures
• Champion the evolution of statistical programming through automation and advanced analytics using elluminate®
• Lead internal initiatives focused on standards governance
• May serve as Lead Statistical Programmer on projects when needed

Manager, Statistical Programming

Product Marketing

• Own and evolve product, platform, and Biometrics services positioning, value propositions, and messaging
• Lead go-to-market and integrated marketing communications strategies for priority products, services, segments, and launches
• Develop and maintain sales enablement assets including pitch decks, fact sheets, case studies, demos support, and competitive battlecards
• Establish and manage competitive intelligence across key competitors
• Partner with Product Management to align roadmap priorities with market needs
• Collaborate with Commercial leadership to ensure product marketing supports revenue goals
• Support executive-level storytelling for boards, investors, and strategic customers
• Contribute to industry events, customer forums, and flagship company initiatives
• Other duties as assigned

Director, Product Marketing

• Define and champion the cross-product strategy for AI capabilities within the elluminate platform
• Identify use cases where machine learning, NLP, and generative AI can revolutionize data workflows, insights, and automation
• Partner with data science and engineering leads to assess feasibility, define success metrics, and shape responsible implementation approaches
• Stay current on emerging AI technologies, frameworks, and healthcare-specific applications to inform long-term vision.
• Lead product discovery and experimentation to validate AI-driven concepts with users and stakeholders
• Define initiative roadmaps, epics, and releases that cut across multiple teams and product areas
• Create compelling product narratives and prototypes that show what the future of clinical data management could look like
• Collaborate with UX to design intuitive and trustworthy user experiences that maximize the value of AI.
• Coach Product Managers and Product Owners working on AI-related capabilities to ensure aligned execution and shared standards
• Build strong cross-functional relationships with engineering, data science, UX, and commercial teams to scale AI delivery
• Act as a thought leader internally and externally—shaping how we talk about intelligent automation and value-driven AI
• Influence senior stakeholders and executive leadership on the strategic role of AI in the future of our platform.
• Define outcome-driven success metrics that go beyond model performance—focused on business impact and user adoption
• Ensure compliance with ethical AI practices, transparency standards, and regulatory considerations relevant to clinical trials
• Constantly iterate on solutions using user feedback and data to refine functionality, design, and performance.
• Establish and maintain frameworks for AI lifecycle management, including drift detection, auditability, and human-in-the-loop feedback systems.