Openkyber

AI Platform Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Platform Lead in Life Sciences, based in New Jersey, NJ. It is a 6-month onsite contract, offering a pay rate of "unknown." Key skills include AI/ML evaluation, compliance, and collaboration with cross-functional teams.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
March 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alaska
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #Model Evaluation #Compliance #Documentation #Data Management #R #Statistics
Role description
AI Product Evaluation Lead Life Sciences New Jersey, NJ (Onsite Job) 6 Months Contract Evaluate 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. Lead rapid proof of concept (POC) initiatives - including scoping, data requirements, model evaluation, prototype buildout, and end user workflow integration. Perform 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. Develop 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 complex technical assessments into actionable insights. Support documentation, risk assessments, and AI compliance considerations, including explainability, privacy, data controls, auditability, and model governance. For applications and inquiries, contact: hirings@openkyber.com