Director of Safety Analytics & AI Innovations

Biopharma Asia; Horsham (PA); Híbrido; USD 164.000 - 283.000; Jornada completa

Descripción de la vacante

Johnson & Johnson is seeking a Director, Safety Data Science to lead analytics, AI and ML initiatives across Global Medical Safety, delivering scalable analytical products and decision-support capabilities.

The role requires advanced data science leadership, collaboration with stakeholders, and the ability to translate scientific concepts into production-grade solutions while advancing patient safety outcomes.

Formación

• Advanced degree (PhD preferred; Master's with significant experience considered) in Statistics, Biostatistics, Data Science, Computer Science, Mathematics, Bioinformatics, Biomedical Informatics, Epidemiology, or related quantitative discipline.
• Significant experience leading advanced analytics, machine learning, AI, data science, healthcare analytics, or related scientific functions.
• Experience supporting medical safety, pharmacovigilance, real-world evidence, healthcare analytics, or related life-science functions.
• Ability to lead analytics, AI/ML initiatives, build end-to-end analytical solutions, and translate concepts into production-grade implementations.

Responsabilidades

• Advanced Analytics & AI: Develop, validate, deploy, and optimize statistical, ML, deep learning, NLP, and generative AI solutions.
• Data Science & Solution Development: Define scalable data pipelines and analytical assets using healthcare and enterprise data.
• Visualization & Decision Support: Build dashboards and analytical apps to communicate insights and support decisions.
• Stakeholder Engagement & Scientific Leadership: Communicate insights to leadership and foster cross-functional collaboration.
• Leadership: Mentor analytics professionals and drive adoption of new capabilities and best practices.

Descripción del empleo

Johnson & Johnson is seeking a Director, Safety Data Science to lead analytics, AI and ML initiatives across Global Medical Safety, delivering scalable analytical products and decision-support capabilities.

The role requires advanced data science leadership, collaboration with stakeholders, and the ability to translate scientific concepts into production-grade solutions while advancing patient safety outcomes.