Director, Safety Data Science

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Safety Analytics team within Global Medical Safety (GMS) is seeking a Director, Safety Data Science to lead the development and deployment of advanced analytics, artificial intelligence, machine learning, and data science capabilities that improve medical safety decision-making, operational effectiveness, and business outcomes.

The Director is responsible for:

• Developing and implementing analytical, AI, and machine learning solutions that support Global Medical Safety objectives.
• Leading projects and project teams to deliver scalable analytical products, platforms, and decision-support capabilities.
• Establishing fit-for-purpose data assets, pipelines, models, dashboards, and applications that enable data-driven decision making.
• Provide scientific and technical leadership across the full spectrum of safety and operational analytics capabilities, including predictive safety analytics, quality monitoring and risk assessment

The Director is an influential leader with a strong understanding of Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, and Medical Safety. As a key member of the GMS Safety Analytics team, he/she will:

• Shape the direction of Safety Analytics, AI, Machine Learning, and Data Science within Global Medical Safety.
• Deliver projects with high levels of scientific rigor, operational excellence, quality, and measurable business value.
• Establish and execute strategy for Safety Analytics and AI capabilities.
• Promote innovation and adoption of emerging analytical technologies.
• Influence senior stakeholders and support strategic decision-making.
• Build organizational capabilities through recruitment, mentoring, development, and retention of analytics talent.
• Drive adoption of analytical and AI-enabled solutions through effective stakeholder engagement and change management.

Responsibilities

Advanced Analytics & AI

• Develop, validate, deploy, and optimize statistical, machine learning, deep learning, natural language processing, and generative AI solutions supporting medical safety and business objectives.
• Apply advanced analytical methods to quality monitoring, operational analytics, risk monitoring, translational analytics, and strategic decision-making.
• Evaluate and implement emerging technologies and methodologies that improve organizational capabilities.

Data Science & Solution Development

• Define requirements for scalable data pipelines, analytical data assets, and reusable analytics products.
• Work with healthcare, safety, real-world, and other enterprise data sources to generate actionable insights.
• Lead development of analytical capabilities that improve efficiency, decision-making, and patient safety outcomes.
• Partner with Information Technology and Digital organizations on collaborative initiatives.

Visualization & Decision Support

• Develop dashboards, visualizations, and analytical applications that communicate insights and support business decisions.
• Stakeholder Engagement & Scientific Leadership
• Provide technical expertise and analytical leadership to cross-functional stakeholders.
• Communicate insights, recommendations, and strategic opportunities to leadership teams.
• Contribute to scientific publications, industry collaborations, conferences, and external engagements.

Leadership

• Lead strategic initiatives with increasing organizational complexity and impact.
• Mentor and develop analytics professionals while fostering a culture of innovation, collaboration, and continuous learning.

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