Senior Computational Drug Discovery Scientist

7555-Janssen Pharmaceutica NV Legal Entity; Geel; On-site; EUR 76,000 - 117,000; Full time

Benefits offered by this job

Annual bonus

Vacation days

Parental leave

Bereavement leave

Well-being reimbursement

Insurance plans

Recognition awards

Job summary

Johnson & Johnson is seeking two Senior Scientists in In Silico Discovery (CADD) to advance automated, structure-based drug discovery workflows. Belgium-based with eligibility for CA/PA locations, you will develop robust computational methods, co-folding, and AI-assisted pipelines within a cross-functional team.

The role emphasizes building automation, collaborating across global teams, and delivering scalable DMTA environments while adhering to enterprise standards and security practices.

Qualifications

• PhD in computational science or related field required.
• Knowledge of structure-based computational drug discovery.
• Strong programming skills, preferably Python.

Responsibilities

• Develop components for automated structure-based modeling workflows, such as ligand preparation, protein preparation, docking, docking selection, and free energy calculations, and advance them from prototypes to deployable solutions.
• Work with colleagues to expand the scope of 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 shape the evolution of our workflow platform and automated DMTA environment.
• Ensure scientific workflows align with platform strategy, technical standards, security requirements, and operational best practices.
• Work with colleagues to explore and develop the use of co-folding across computational workflows, including future automation efforts.
• Leverage agentic AI to support programming, accelerate development, and expand AI-enabled workflows.
• Work collaboratively across In Silico Discovery with our global CADD, Drug Discovery Data Sciences, Cheminformatics, and In Silico Biologics teams.

Skills

PhD in computational science

Python programming

Automated workflows

CI/CD practices

Problem solving

Travel up to 10%

Education

PhD in computational chemistry

Tools

RDKit

Python tooling

Job description

Johnson & Johnson is seeking two Senior Scientists in In Silico Discovery (CADD) to advance automated, structure-based drug discovery workflows. Belgium-based with eligibility for CA/PA locations, you will develop robust computational methods, co-folding, and AI-assisted pipelines within a cross-functional team.

The role emphasizes building automation, collaborating across global teams, and delivering scalable DMTA environments while adhering to enterprise standards and security practices.