Director, Clinical AI Technologies

Structure Therapeutics•South San Francisco, CA

2d•$237,000 - $285,000

About The Position

Structure Therapeutics develops life‐changing medicines for patients using advanced structure-based and computational drug discovery technology. The company’s platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs. We are advancing a clinical‐stage pipeline of differentiated treatments focused on chronic diseases with high unmet need, including cardiovascular, metabolic, and pulmonary conditions. Structure Therapeutics is led by an experienced group of international drug innovators and financed by top-tier global life sciences investors. The company completed an initial public offering (IPO) in February 2023. With offices in California and Shanghai, Structure Therapeutics has the benefit of being at the center of life science innovation in both the US and China and capitalizing on the strengths of each geographic location. Reporting directly or operationally into the VP, Clinical Operations, the role supports the broader coordination of efforts across teams to ensure impactful contributions to AI integration Position Summary: The Director of Clinical AI Technologies is responsible for translating clinical operation needs into AI-driven solutions to lead the strategy, implementation, and scaling of artificial intelligence (AI) solutions that enhance the execution and performance of clinical trials. This role focuses on embedding AI into day-to-day C linical Develo p ment O perations to improve study delivery, site performance, patient enrollment/ engagement /retention , and data quality. As a leader within Clinical Development Operations, you will transform "AI potential" into "operational performance."

Requirements

BS or advanced degree in Life Sciences, Computer Science, Data Science, or technical field
Minimum 8 years of experience in within pharma, biotech, or CRO settings , including 5+ years of experience in AI/ML ( m achine 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.

Responsibilities

Evaluate, design and execute a roadmap / framework for AI integration across C linical D evelopment O perations , 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 C lini cal Research Associated (C RA ) s.
Define and track KPIs to measure the ROI of AI implementations
Collaborate with cross-functional teams ( C linical, Clinical science, IT, Q uality, R egulatory , 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. M anage 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 dev elopment 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 performanc e