Director, AI-Driven Drug Design & Molecular Design

Biopharma Asia; San Diego (CA); On-site; USD 164,000 - 283,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) retirement plan

Vacation up to 120 hours

Job summary

Johnson & Johnson Innovative Medicine seeks a Director to lead Computer-Directed Drug Design and AI Native Molecular Design within the In Silico Drug Discovery team in San Diego, CA. This science-driven leadership role requires deep expertise in computational drug discovery and cross-functional collaboration across medicinal chemistry, biology, and structural sciences.

The position emphasizes portfolio strategy, scalable design–make–test–learn cycles, and responsible AI use.

Qualifications

• PhD in computational chemistry or related scientific discipline.
• Demonstrated impact across discovery programs from hit identification to lead optimization.
• Experience applying production-grade computational or AI-enabled capabilities.

Responsibilities

• Lead portfolio-embedded CD3 scientists and advance AI-native discovery.
• Translate project goals into integrated computational and experimental plans.
• Evaluate AI proposals for suitability, reproducibility, and safety.
• Drive adoption of scalable platforms and workflows with cross-functional partners.
• Provide clear portfolio feedback and decision rights across teams.

Skills

Advanced Analytics

Budget Management

Data Visualization

Leadership

Program Management

Strategic Thinking

Education

PhD in computational chemistry or related field

Job description

Johnson & Johnson Innovative Medicine seeks a Director to lead Computer-Directed Drug Design and AI Native Molecular Design within the In Silico Drug Discovery team in San Diego, CA. This science-driven leadership role requires deep expertise in computational drug discovery and cross-functional collaboration across medicinal chemistry, biology, and structural sciences.

The position emphasizes portfolio strategy, scalable design–make–test–learn cycles, and responsible AI use.