Responsibilities · Make strategic plans to combine AI and organ-chip technologies to accelerate drug discovery. · Lead the data science team to develop analytics tools and data science/AI platforms to support the internal need. · Collaborate with teams across the organization, including biology and engineering team, to define the business need, and establish the best practice in study design, data acquisition, data management, and data analysis. Ensuring efficient and reproducible research · Mentor team members in AI, machine learning, statistical analysis and promoting their professional growth and expertise. Qualifications · Ph.D degree in computer science, biomedical engineering, computational biology, or relevant technical field. 8+ industrial experience in pharma/biotech or top research institutes preferred · Strong background in machine learning and deep learning. Especially in the field of computer vision, foundation model, agentic AI. · Familiar with microscopic image analysis (digital pathology and high content image), bioinformatics, and statistical analysis. · Experience with AI aided drug design, cloud computing environments, or full stack software development is a big plus. · Outstanding communication and interpersonal skills