Director, Safety Data Science

Johnson & Johnson
Horsham, PA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Business Analytics Applications Bioinformatics Health Informatics Data Infrastructure R (Programming Language) Python (Programming Language) Machine Learning Natural Language Processing Standard Sql Cloud Platform System Large Language Models
+3 more
Data Analytics Machine Learning Operations Data Pipelines

Job description

Lead the development and deployment of advanced data analytics, AI, and machine learning solutions within Global Medical Safety to enhance safety decision-making and operational efficiency., * shape strategy for safety analytics and AI, lead project teams to deliver scalable analytical tools, develop data pipelines, models, dashboards, and analytical applications, and promote adoption of emerging technologies.

  • Provide scientific and technical leadership across safety analytics domains, including predictive safety, risk assessment, and quality monitoring.
  • Collaborate with cross-functional teams and senior stakeholders; mentor analytics professionals; support strategic initiatives.

Requirements

  • PhD preferred (or Master’s with extensive experience) in Statistics, Data Science, Bioinformatics, or related fields
  • Significant experience in healthcare analytics, medical safety, or pharmacovigilance
  • Proven ability to lead end-to-end analytical projects and teams, * expertise in AI/ML, predictive modeling, natural language processing, and large language models
  • proficiency in Python, R, SQL
  • experience with cloud architectures and MLOps; supporting safety and real-world evidence data environments

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