Embed within the data management and project teams supporting the onboarding and implementation of new bioanalytical assays.Partner with scientists and subject matter experts to understand assay workflows, rules, calculations, data requirements, and execution processes.Gather, clarify, organize, and document scientific and operational requirements needed to support assay execution, data capture, and data analysis.Develop and configure templates and assay preparations required to support assay execution, data capture, and analysis.Support both manual and automated/robotic assay implementations.Participate throughout the end-to-end template development lifecycle, from requirements gathering and documentation through configuration, testing, implementation, and refinement.Review and interpret applicable requirements specifications to ensure requirements are appropriately reflected in templates and project deliverables.Compare requirements and workflows across assays and projects to identify gaps, differences, and opportunities for standardization.Collaborate with scientists, data management, IT, and other stakeholders to translate scientific and operational requirements into effective assay-supporting solutions.Develop sufficient understanding of assay-specific rules and workflows to identify expected template behavior, potential gaps, and appropriate test scenarios.Prepare test cases and UAT scripts throughout the template development process and participate in UAT, including documenting and resolving identified issues.Confirm that templates, assay preparations, and related deliverables accurately support intended assay workflows and data requirements.Maintain appropriate documentation of requirements, decisions, configurations, testing activities, and project deliverables.Support multiple assay projects simultaneously and identify opportunities to improve consistency, efficiency, usability, and quality across assay onboarding activities.Assist with interpretation of clinical protocols to accurate data entry during study design
