Director, Clinical AI Technologies
Structure Therapeutics · South San Francisco, CA · 1 mo ago
On-siteInformation Technology$237k–$285k/yrFull-time
Job Responsibilities
- Evaluate, design and execute a roadmap/ framework for AI integration across Clinical Development Operations, prioritizing high impact areas
- Identify and prioritize AI use cases to improve trial execution (e.g., site activation, enrollment, monitoring, issue detection)
- Embed AI tools into core Clinical Operations workflows, ensuring they are user-friendly for Clinical Trial Managers (CTMs) and Clinical Research Associates (CRAs)
- Define and track KPIs to measure the ROI of AI implementations
- Collaborate with cross-functional teams (Clinical, Clinical science, IT, Quality, Regulatory, etc) to ensure alignment with AI solutions/ initiatives and integrate with existing programs
- Oversee vendor evaluation, selection, and management for AI-enabled clinical technologies including AI vendors and technology platforms. Manage these partnerships to ensure AI outputs are validated and actionable
- Facilitate knowledge transfer and best practices for AI applications within clinical operations settings
- Drive adoption through training, change management, and stakeholder engagement
- Establish Standard Operating Procedures (SOPs) and governance for AI use in clinical development operations, including validation, performance monitoring, and documentation
- Ensure compliance with GCP/GxP, regulatory requirements, and internal quality standards
- Continuously assess emerging technologies and recommend innovations to improve operational performance
Qualifications
- BS or advanced degree in Life Sciences, Computer Science, Data Science, or technical field
- Minimum 8 years of experience in pharma, biotech, or CRO settings, including 5+ years of experience in AI/ML (machine learning), advanced analytics, or digital health initiatives
- Experience leading or participating in AI projects within clinical or biomedical domains
- Understanding of clinical trial processes with skills to translate them into AI solutions
- Background in AI, machine learning, and data science, with practical experience in clinical applications
- Strong interpersonal and communication skills for effective cross-functional collaboration
- Familiarity with regulatory compliance requirements for AI in clinical trials
- Demonstrated ability to contribute to innovation and change within a matrixed organization