HUTCHMED
AI Clinical Leader
Skills
6 months ago
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Important information
Contract type:
Permanent
Location:
Shanghai, China
Work mode:
Onsite
Published on:
7 August 2026
What they need
Main Responsibilities
Partner with clinical development, medical, biostatistics, data management, and clinical operations teams to identify and deliver AI use cases across the clinical trial lifecycle.
Develop AI/ML solutions to support protocol optimization, site selection, patient recruitment, enrollment forecasting, trial monitoring, and risk-based quality management.
Apply NLP, predictive analytics, and generative AI to clinical documents, trial data review, safety narratives, and operational insights generation.
Support real-world data and real-world evidence analytics to improve clinical strategy, patient stratification, and evidence generation.
Collaborate with cross-functional teams to integrate AI tools with EDC, CTMS, eTMF, safety, and other clinical systems.
Ensure AI applications in clinical development comply with GCP, privacy requirements, validation standards, and internal governance policies.
Establish metrics to evaluate AI impact on trial speed, quality, cost, patient diversity, and operational efficiency
Required Skills
8+ years of experience in clinical data science, clinical technology, AI/ML, or digital clinical development within pharmaceutical, biotech, or CRO environments.
Demonstrated experience applying advanced analytics or AI to clinical trial operations, clinical data, or real-world evidence.
Advanced degree (MS/PhD preferred) in Data Science, Biostatistics, Computer Science, Life Sciences, Public Health, or related field.
Expertise in AI/ML methods, NLP, predictive modeling, and analytics tools relevant to clinical development.
Familiarity with clinical systems and standards such as EDC, CTMS, eTMF, CDISC, and real-world data platforms.
Strong understanding of clinical trial design, operations, data management, GCP, and regulatory expectations in clinical development.
Strong leadership, problem-solving, communication, and cross-functional collaboration skills.
Excellent leadership, architecture governance, communication, and stakeholder management capabilities.
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