
1001 - 5000 employees
🏥 Healthcare
đź’Ľ Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Worldwide Clinical Trials is a global contract research organization (CRO) that provides comprehensive clinical trial services. They specialize in supporting studies across diverse therapeutic areas such as oncology, cardiology, and rare diseases. With over 30 years of experience, Worldwide Clinical Trials emphasizes personalized support and customized solutions throughout the entire lifecycle of drug development. Their services include clinical monitoring, data management, patient recruitment, and regulatory consulting, ensuring precision and tailored attention for each clinical trial.
🔥 3 minutes ago
🌲 North Carolina – Remote
đź’µ $101k - $201k / year
⏰ Full Time
đźź Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
đź‘» Ghost score 0%
Where this job comes from
Posted on Worldwide Clinical Trials's careers page, not through a job board
First seen by Remote Rocketship 3 minutes ago

1001 - 5000 employees
🏥 Healthcare
đź’Ľ Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Worldwide Clinical Trials is a global contract research organization (CRO) that provides comprehensive clinical trial services. They specialize in supporting studies across diverse therapeutic areas such as oncology, cardiology, and rare diseases. With over 30 years of experience, Worldwide Clinical Trials emphasizes personalized support and customized solutions throughout the entire lifecycle of drug development. Their services include clinical monitoring, data management, patient recruitment, and regulatory consulting, ensuring precision and tailored attention for each clinical trial.
• Build and maintain the Enterprise IT AI Governance framework, including the operating model, standards, procedures, decision rights, risk tiers, controls, and governance records • Establish a company-wide intake, assessment, and approval process for AI use cases, AI-enabled vendor products, internally developed solutions, and AI agents • Maintain a centralized inventory of AI systems and agents, including ownership, intended use, data sources, permissions, dependencies, risk classification, approval status, and lifecycle information • Lead risk-based governance reviews with Information Security, Privacy, Legal, Quality, Enterprise Architecture, Data, Vendor Management, Procurement, and other subject-matter experts • Define governance requirements for AI agents, including ownership, approved purpose, identity and access, human oversight, testing, monitoring, logging, change control, incident response, and secure retirement • Coordinate reviews of cybersecurity, privacy, quality, third-party, and operational risks associated with AI • Strengthen governance for clinical, GxP, and other regulated AI use cases • Monitor approved AI technologies for material changes, control exceptions, incidents, performance concerns, and emerging requirements • Deliver governance guidance, training, metrics, executive reporting, and audit-ready evidence • Advise leadership on emerging AI risks, governance gaps, and investment needs
• Bachelor's degree in Information Technology, Cybersecurity, Computer Science, Data Science, Risk Management, Business, Law, or a related field • 8+ years of progressive experience in governance, risk and compliance, technology risk, cybersecurity, privacy, data governance, audit, quality, or a related discipline • 3+ years leading enterprise governance programs, cross-functional risk initiatives, or technology control frameworks • Experience developing policies, standards, risk assessments, control requirements, governance workflows, metrics, and executive reporting • Working experience with AI governance, responsible AI, generative AI, machine learning, automation, AI-enabled vendor products, or AI agent governance is strongly preferred • Strong understanding of technology risk, information security, privacy, third-party risk, data governance, and regulatory compliance • Practical knowledge of large language models, AI agents, machine identities, and AI lifecycle risks • Experience within a regulated, global, life sciences, healthcare, or clinical research environment is highly desirable • Familiarity with recognized AI, risk, security, and privacy frameworks and applicable AI laws and regulations • Strong program-management, stakeholder-management, and communication skills • Proficiency in English • Ability to collaborate effectively across global time zones and manage multiple governance priorities
• Competitive benefits package depending on location • Inclusive and equitable workplace • Transparent compensation and pay equity • Equal employment opportunities • Access to equal opportunity
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