Head of AI-Driven Drug Discovery & Translational Science

Michael Page International (Canada); Richmond (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Local standard compensation

Opportunity to lead a varied team

Job summary

MPI is seeking an experienced leader to guide AI-enabled drug discovery and translational science for a de novo antibody drug discovery platform. You will define discovery strategy, lead end-to-end research, and drive automation with high-throughput screening across multiple therapeutic areas.

The successful candidate will bring 8–10 years in discovery/translational roles within global pharma, with fluency in English and Chinese, and a strong vision for AI-enabled drug development and

Qualifications

• 8–10 years in discovery or translational research within a multinational pharma/biopharma
• Deep understanding of end-to-end drug discovery process
• Hands-on experience with high-throughput automated wet-lab workflows
• Strong knowledge of target nomination, evaluation, and prioritisation
• Fluent English and Chinese for cross-functional communication

Responsibilities

• Define and shape discovery and translational research strategy aligned with scientific vision
• Provide scientific leadership across the drug discovery process from target validation to lead optimisation
• Lead high-throughput, automated screening efforts to enable efficient discovery
• Develop frameworks for target prioritisation using emerging technologies
• Apply broad therapeutic knowledge across modalities and identify translational opportunities
• Contribute to building the venture's scientific platform and team

Skills

AI-driven discovery

Translational strategy

Automation & HTS

Target identification

Cross-therapeutic experience

Scientific leadership

English proficiency

Chinese language

Job description

MPI is seeking an experienced leader to guide AI-enabled drug discovery and translational science for a de novo antibody drug discovery platform. You will define discovery strategy, lead end-to-end research, and drive automation with high-throughput screening across multiple therapeutic areas.

The successful candidate will bring 8–10 years in discovery/translational roles within global pharma, with fluency in English and Chinese, and a strong vision for AI-enabled drug development and