Senior In Silico Discovery Scientist AI-Driven Drug Design

Johnson & Johnson Innovative Medicine; Spring House (PA); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Johnson & Johnson's Therapeutics Discovery is seeking a Senior Scientist in In Silico Discovery to develop and deploy structure-based, physics-driven computational workflows for early drug design.

You will build automated protocols for ligand/protein prep, docking, and free energy calculations, expand automation, and collaborate with IT to align with enterprise standards while applying AI to speed development.

Qualifications

• PhD in computational science or chemistry.
• Expertise in structure-based drug discovery, programming (preferably Python), and automated workflow development.
• Familiarity with software engineering best practices.
• Postdoctoral or industry experience in drug discovery advantageous.

Responsibilities

• Build and optimize automated protocols for ligand/protein prep, docking, free energy calculations, and co-folding.
• Enhance workflow automation, expand scope, and integrate new tools.
• Collaborate with IT and platform teams to align with enterprise standards.
• Leverage AI to accelerate development.

Skills

Python programming

Structure-based discovery

Automated workflow development

Software engineering best practices

Education

PhD in computational science or chemistry

Tools

RDKit

AI/ML platforms

Agentic AI

Job description

Johnson & Johnson's Therapeutics Discovery is seeking a Senior Scientist in In Silico Discovery to develop and deploy structure-based, physics-driven computational workflows for early drug design.

You will build automated protocols for ligand/protein prep, docking, and free energy calculations, expand automation, and collaborate with IT to align with enterprise standards while applying AI to speed development.