Principal Scientist — Agentic Cheminformatics & Workflows

Johnson & Johnson Innovative Medicine; Spring House (PA); Sur place; USD 117 000 - 201 000; Plein temps

Avantages offerts par ce poste

Vacation up to 120 hours/year

Sick time up to 40 hours/year

Holiday pay and time off

Résumé du poste

Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist in In Silico Drug Discovery. Located in Spring House, PA, or Cambridge, MA, with travel up to 10% and potential cross‑country postings.

You will lead agentic cheminformatics workflows, collaborate with chemists and data scientists, and drive adoption of new discovery technologies. The role requires a PhD or equivalent experience in a relevant discipline, strong Python skills, and a track record of leadership in

Qualifications

• PhD or equivalent substantial experience in cheminformatics, computational chemistry, medicinal chemistry, chemical biology, or a related discipline, with recognized depth of scientific expertise relevant to drug discovery.
• Deep understanding of compound design, predictive models, and discovery decision‑making, with the ability to connect scientific needs across disciplines.
• Hands‑on experience using AI‑assisted development approaches to build reliable scientific software or automated workflows, with practical experience applying large language models and designing effective interactions between models, tools, and human experts.

Responsabilités

• Lead the identification, scientific design, prototyping, and validation of agent‑enabled workflows that address high‑value discovery questions across multiple use cases or discovery areas.
• Establish the scientific evidence, adoption model, and partnerships needed to advance promising concepts into broadly used capabilities.
• 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 quality and speed.
• Define robust and reusable approaches for translating complex scientific questions into workflows that make evidence, assumptions, decisions, and points requiring expert judgment explicit.

Connaissances

Python programming

Workflow orchestration

AI-assisted development

Data analysis

Data visualization

Advanced analytics

Coaching

Strategic thinking

Technical credibility

Workflow analysis

Formation

PhD or equivalent substantial experience in cheminformatics/computational chemistry/medicinal chemistry

Outils

Python

Description du poste

Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist in In Silico Drug Discovery. Located in Spring House, PA, or Cambridge, MA, with travel up to 10% and potential cross‑country postings.

You will lead agentic cheminformatics workflows, collaborate with chemists and data scientists, and drive adoption of new discovery technologies. The role requires a PhD or equivalent experience in a relevant discipline, strong Python skills, and a track record of leadership in