Principal Scientist: Agentic Cheminformatics & Workflows

Johnson Johnson; Antwerpen; On-site; EUR 110,000 - 170,000; Full time

Job summary

Johnson & Johnson Innovative Medicine in Beerse, Belgium, seeks a Principal Scientist to lead agentic workflows and cheminformatics within our In Silico Drug Discovery team. The role may be based in Spring House, PA, or Cambridge, MA, with some travel and no remote option.

You will guide design, prototyping, and validation of agent-enabled workflows, partner with data science and platform engineering, and drive adoption of these capabilities across discovery functions to accelerate medicines.

Responsibilities

• Build trusted partnerships with medicinal chemists, CADD scientists, biologists, DMPK scientists, data scientists, and scientific leaders to understand decision workflows and identify opportunities with impact across projects or discovery areas.
• Shape and prioritize a portfolio of scientific questions and decision points where agentic approaches can bring together data, models, and expert knowledge to improve discovery speed and quality.
• Define robust and reusable approaches for translating complex scientific questions into workflows that make evidence, assumptions, decisions, and points requiring expert judgment explicit.
• Develop and test agentic prototypes in realistic discovery settings, combining scientific expertise with relevant data, predictive models, computational methods, and tools that agents can select and coordinate.
• Provide scientific and technical leadership across a portfolio of agentic prototypes, set priorities and success measures, guide trade-off decisions, and ensure value delivery across discovery functions.

Skills

Scientific leadership

Cross-functional collaboration

Agentic workflows

Data analysis

Job description

Johnson & Johnson Innovative Medicine in Beerse, Belgium, seeks a Principal Scientist to lead agentic workflows and cheminformatics within our In Silico Drug Discovery team. The role may be based in Spring House, PA, or Cambridge, MA, with some travel and no remote option.

You will guide design, prototyping, and validation of agent-enabled workflows, partner with data science and platform engineering, and drive adoption of these capabilities across discovery functions to accelerate medicines.