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AI Product Evaluation reputed company – Life Sciences (New...

100% remote Flexible hours Hiring now

reputed company is the leading career destination for tech experts at every stage of their careers. Our client, Activesoft, Inc., is seeking the following. Apply reputed company reputed company today!AI Product Evaluation reputed company – Life SciencesNew Jersey, NJ (Onsite Job)6 Months ContractEvaluate emerging AI/ML tools and platforms for applicability across Life Sciences R&D domains (Biostatistics, Regulatory Affairs, Clinical Quality, Safety, and R&D Operations), with a highly hands on approach to testing, validation, and workflow fit.reputed company rapid reputed company of concept (POC) initiatives — including scoping, data requirements, model evaluation, prototype buildout, and end user workflow integration.reputed company deep hands on assessments of vendor solutions, scrutinizing functionality, model behavior, stability, and real world readiness. Apply a mature, critical lens to identify issues, hidden risks, edge cases, and overstatements in vendor claims.Assess vendor solution maturity, including roadmap credibility, architectural soundness, integration feasibility, and alignment with enterprise standards.Prepare clear readouts, decision frameworks, and recommendations for senior R&D stakeholders, including go/no go decisions and prioritization options.Collaborate with cross functional SMEs (biostats, regulatory, quality, clinical, data management) to translate scientific and operational needs into AI requirements and evaluate feasibility.reputed company comparison matrices, evaluation frameworks, and scoring criteria for AI tools, incorporating both technical performance and Life Sciences–specific validation requirements (GxP and non GxP).Present findings through demos, deep dive sessions, and executive level summaries, distilling reputed company technical assessments into actionable insights.Support documentation, risk assessments, and AI compliance considerations, including explainability, privacy, data controls, auditability, and model governance.

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