Senior Scientist, In Silico Drug Discovery

Johnson & Johnson Innovative Medicine; Beerse; On-site; EUR 76,000 - 117,000; Full time

Job summary

Johnson & Johnson Innovative Medicine seeks two computational Senior Scientists for CADD technology development in In Silico Discovery. Belgium is primary, with California/Pennsylvania considered.

You will build automated structure-based workflows, advancing prototype DMTA cycles to full portfolio deployment while collaborating across global teams. The role emphasizes MD, FEP, co-folding, and AI-enabled workflows, with strong coding skills and a track record in computational drug discovery.

Qualifications

• PhD in computational science or related field.
• Experience with structure-based drug discovery.
• Strong Python programming skills.
• Experience building automated workflows and pipelines.
• Familiarity with CI/CD practices.
• Willingness to travel up to 10% domestically and internationally.

Responsibilities

• Develop automated structure-based modeling workflows from prototypes to deployable solutions.
• Expand automation for new structure-based tools and components.
• Collaborate to implement scientific workflows using scalable architectures.
• Gather requirements and shape future workflow needs for the DMTA environment.
• Ensure workflows align with security and operational standards.
• Explore and advance co-folding in automation and workflows.
• Leverage agentic AI to accelerate development and workflows.
• Collaborate with In Silico Discovery and related teams worldwide.

Skills

PhD in comp sci

Structure-based discovery

Python

Automated workflows

CI/CD

Travel 10%

Education

PhD in computational science

Tools

RDKit

Job description

Johnson & Johnson Innovative Medicine seeks two computational Senior Scientists for CADD technology development in In Silico Discovery. Belgium is primary, with California/Pennsylvania considered.

You will build automated structure-based workflows, advancing prototype DMTA cycles to full portfolio deployment while collaborating across global teams. The role emphasizes MD, FEP, co-folding, and AI-enabled workflows, with strong coding skills and a track record in computational drug discovery.