This role pays less than
65%
of similar roles. Most pay
$205,375–$288,000
— the shaded band above.
At the midpoint, this role pays about
$223k
versus about
$247k
for comparable roles.
Based on 240 similar postings.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
45 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 42 roles with salary data.
Director, Safety Data Science joins the Safety Analytics team within Global Medical Safety to lead the development and deployment of advanced analytics, artificial intelligence, machine learning, and data science capabilities. The role involves building scalable analytical products, data pipelines, models, and dashboards to improve medical safety decision-making and operational effectiveness. Key responsibilities include overseeing predictive safety analytics, quality monitoring, and risk assessment while managing project teams and mentoring talent. The successful candidate will utilize Python, R, and SQL to implement statistical methods, deep learning, natural language processing, and generative AI solutions. This position addresses critical challenges in medical safety and pharmacovigilance by transforming healthcare, real-world, and enterprise data into actionable insights. The role requires expertise in MLOps, CI/CD, and cloud-based architectures to ensure high scientific rigor and measurable business value within the medical safety domain.
Develop and deploy advanced machine learning, deep learning, and generative AI solutions to improve medical safety outcomes.
Lead project teams to deliver scalable analytical products, data pipelines, and decision-support tools.
Establish and execute the strategic roadmap for analytics and AI capabilities within Global Medical Safety.
Build and manage high-quality data assets, dashboards, and visualizations to facilitate data-driven decision making.
Provide technical leadership and scientific expertise to cross-functional stakeholders and senior leadership teams.
Mentor and develop a team of analytics professionals while fostering a culture of innovation.
Drive the adoption of new analytical technologies through effective stakeholder engagement and change management.
What we're looking for
Advanced degree in Statistics, Biostatistics, Data Science, Computer Science, Mathematics, Bioinformatics, Biomedical Informatics, Epidemiology, or a related quantitative discipline (PhD preferred).
Significant experience leading advanced analytics, machine learning, artificial intelligence, data science, healthcare analytics, medical safety analytics, or related scientific functions.
Required experience supporting medical safety, pharmacovigilance, real-world evidence, healthcare analytics, or related life-science functions.
Demonstrated ability to lead analytics, AI/ML, or quantitative scientific initiatives and build end-to-end analytical solutions from acquisition through deployment.
Proficiency in Python, R, and SQL.
Expertise in statistical methods, predictive modeling, machine learning, deep learning, generative AI, and large language models.
Experience deploying AI/ML solutions using modern MLOps, CI/CD, and model lifecycle management practices.
Experience working with healthcare, safety, real-world, or enterprise-scale data environments (preferred).
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