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AI Clinical Leader

Exclusive opportunity

Onsite

AI Clinical Leader

HUTCHMED

AI Clinical Leader

Skills

Google Cloud PlatformData ScienceData AnalysisMachine LearningAINLP / Natural Language Processing

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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