Technical Product Manager — Cheminformatics & ML Platforms

Johnson & Johnson Innovative Medicine; Beerse; Sur place; EUR 80 000 - 138 000; Plein temps

Avantages offerts par ce poste

Annual bonus

Vacation days

Résumé du poste

Johnson & Johnson Innovative Medicine is recruiting a Technical Product Manager for Cheminformatics and Machine Learning, based in Beerse, Belgium, or Spring House, US. You will shape enterprise discovery informatics platforms, work with partners to deliver cross-site projects, and modernize chemistry-driven decisions.

You will lead data-driven IT approaches, manage global deployments of AI and ML models, and ensure seamless collaboration between researchers and engineers in a fast-paced

Qualifications

• Master's degree in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science or related.
• 5+ years enabling chemistry informatics systems in big pharma.
• Bilingual in chemistry and technology; strong communication across functions.

Responsabilités

• Deliver cheminformatics and discovery informatics platforms across global research teams.
• Define and implement data-driven and scientific IT approaches for discovery sciences.
• Lead cross-site, multi-disciplinary projects with internal and external partners.
• Manage vendor relationships for global cheminformatics applications.
• Drive modernization of chemistry-centric decision-making and AI/ML deployment.

Connaissances

Analytical reasoning

Leadership

Communication

Problem solving

Formation

Master's in Cheminformatics / Computational Chemistry / Bioinformatics / Data Science

Outils

KNIME

PipeLine Pilot

Python

RDKit

Description du poste

Johnson & Johnson Innovative Medicine is recruiting a Technical Product Manager for Cheminformatics and Machine Learning, based in Beerse, Belgium, or Spring House, US. You will shape enterprise discovery informatics platforms, work with partners to deliver cross-site projects, and modernize chemistry-driven decisions.

You will lead data-driven IT approaches, manage global deployments of AI and ML models, and ensure seamless collaboration between researchers and engineers in a fast-paced