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Johnson & Johnson

Senior Scientist, In Silico Discovery

Johnson & Johnson

. Develop components for automated structure-based modeling workflows, including ligand preparation, protein preparation, docking, docking selection, and free energy calculations .

Posted 9/24/2026full-timeBeerse • BelgiumSenior💰 €75,500 - €117,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing automated workflows for structure-based computational drug discovery, leveraging strong programming skills in Python and knowledge of software engineering best practices. Collaborates effectively across multidisciplinary teams to align scientific workflows with platform strategies and operational standards.

Highest-signal resume keywords
PhD In Computational ScienceStrong Programming Skills In PythonExperience Developing Automated WorkflowsKnowledge Of Structure-Based Computational Drug DiscoveryFamiliarity With Workflow Orchestration Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Automated Workflow DevelopmentPipeline DevelopmentSoftware Engineering Best PracticesVersion ControlTestingContinuous Integration And Delivery (CI/CD)Free Energy MethodsVirtual ScreeningCo-FoldingAgentic AI
Soft Skills
Strong Problem-Solving SkillsCreative Solution Development
Tools & Technologies
RDKitModern AI/ML LibrariesOpen-Source Resources
Industry Keywords
Computational ChemistryIn Silico DiscoveryCADDDrug Discovery Data SciencesCheminformaticsIn Silico Biologics

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop components for automated structure-based modeling workflows, including ligand preparation, protein preparation, docking, docking selection, and free energy calculations
  • Advance workflow components from prototypes to deployable solutions
  • Expand existing automated components and develop automation for new structure-based tools
  • Collaborate with platform and automation teams to implement scientific workflows using common architectures, reusable services, and enterprise standards
  • Contribute requirements, user feedback, and future workflow needs to evolve the workflow platform and automated DMTA environment
  • Ensure scientific workflows align with platform strategy, technical standards, security requirements, and operational best practices
  • Explore and develop co-folding across computational workflows, including future automation efforts
  • Leverage agentic AI to support programming, accelerate development, and expand AI-enabled workflows
  • Collaborate across In Silico Discovery with global CADD, Drug Discovery Data Sciences, Cheminformatics, and In Silico Biologics teams

Requirements

What you’ll need
  • PhD in computational science, computational chemistry, or a related field
  • Knowledge of structure-based computational drug discovery
  • Strong programming skills, preferably in Python
  • Experience developing automated workflows, pipelines, or scientific applications
  • Familiarity with workflow orchestration frameworks
  • Knowledge of software engineering best practices, including version control, testing, and continuous integration and delivery (CI/CD)
  • Strong problem-solving skills and ability to develop creative, innovative solutions meeting project objectives
  • Ability to travel domestically and internationally up to 10% of the time
  • Preferred: Experience with open-source resources, libraries, and toolkits such as RDKit
  • Preferred: Experience with modern AI/ML libraries and platforms
  • Preferred: Experience using agentic AI to support programming and software development
  • Preferred: Experience in free energy methods, virtual screening, or co-folding
  • Postdoctoral research in computational chemistry, industry experience, or other exposure to drug discovery would be beneficial

Benefits

Comp & perks
  • Annual bonus with set target depending on pay grade/location, based on employee and company performance
  • Vacation days
  • Parental leave for a minimum of 12 weeks
  • Bereavement leave
  • Caregiver leave
  • Volunteer leave
  • Well-being reimbursement
  • Financial, physical, and mental health programs
  • Service anniversary and recognition awards
  • Insurance plans for employees and eligible dependents in some locations