Senior Scientist, In Silico Discovery

Scorpion Therapeutics; 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

Senior Scientist in In Silico Discovery within Johnson & Johnson's Therapeutics Discovery, focused on developing and deploying structure-based, physics-driven computational workflows for early drug design.

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

Requirements:

• 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

Preferred:

• experience with open-source libraries like RDKit, AI/ML platforms, agentic AI, and advanced methods such as free energy calculations and co-folding
• postdoctoral or industry experience in drug discovery advantageous

High-Value:

• Computational chemistry
• automation in early-stage biologics or small molecules
• emerging technologies
• cross-functional collaboration in global teams

Work setup:

primarily Belgium, with options in California or Pennsylvania; travel up to 10% domestically and internationally.