Director, Safety Data Science

Johnson & Johnson

. Develop and implement analytical, AI, and machine learning solutions supporting Global Medical Safety objectives .

Posted 9/24/2026full-timeUnited StatesLead💰 $164,000 - $282,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI and machine learning solutions within Global Medical Safety, with a strong focus on predictive analytics, data science, and stakeholder engagement. Proven ability to lead cross-functional teams and drive organizational adoption of innovative analytical capabilities.

Highest-signal resume keywords

Advanced Degree in Statistics, Data Science, or Related DisciplineProficiency in Python, R, and SQLExpertise in Machine Learning and AI SolutionsExperience in Healthcare Analytics and Medical SafetyStrong Analytical and Problem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNatural Language ProcessingStatistical MethodsPredictive ModelingData EngineeringFeature EngineeringCloud-Based Analytical ArchitecturesMLOpsCI/CD

Soft Skills

Communication SkillsStakeholder ManagementLeadershipMentoringCollaboration

Tools & Technologies

Analytical DashboardsData PipelinesAnalytical ApplicationsVisualization ToolsAI-Enabled Solutions

Industry Keywords

PharmacovigilanceReal-World EvidenceHealthcare AnalyticsMedical Safety AnalyticsRegulatory Expectations

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Develop and implement analytical, AI, and machine learning solutions supporting Global Medical Safety objectives
Lead projects and project teams delivering scalable analytical products, platforms, and decision-support capabilities
Establish fit-for-purpose data assets, pipelines, models, dashboards, and applications
Provide scientific and technical leadership across safety and operational analytics, including predictive safety analytics, quality monitoring, and risk assessment
Shape the direction of Safety Analytics, AI, Machine Learning, and Data Science within Global Medical Safety
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 stakeholder engagement and change management
Develop, validate, deploy, and optimize statistical, machine learning, deep learning, natural language processing, and generative AI solutions
Apply advanced analytical methods to quality monitoring, operational analytics, risk monitoring, translational analytics, and strategic decision-making
Evaluate and implement emerging technologies and methodologies
Define requirements for scalable data pipelines, analytical data assets, and reusable analytics products
Work with healthcare, safety, real-world, and enterprise data sources to generate actionable insights
Partner with Information Technology and Digital organizations on collaborative initiatives
Develop dashboards, visualizations, and analytical applications supporting business decisions
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
Lead strategic initiatives with increasing organizational complexity and impact
Mentor and develop analytics professionals while fostering innovation, collaboration, and continuous learning
Drive organizational adoption of new analytical capabilities and best practices

Requirements

What you’ll need

Advanced degree (PhD preferred; Master's degree with significant relevant experience considered) in Statistics, Biostatistics, Data Science, Computer Science, Mathematics, Bioinformatics, Biomedical Informatics, Epidemiology, or a related quantitative discipline
Significant experience leading advanced analytics, machine learning, artificial intelligence, data science, healthcare analytics, medical safety analytics, or related scientific functions
Experience supporting medical safety, pharmacovigilance, real-world evidence, healthcare analytics, or related life-science functions is required
Ability to lead analytics, AI/ML, or quantitative scientific initiatives
Ability to build end-to-end analytical solutions from data acquisition through deployment and business adoption
Ability to translate analytical concepts into scalable, production-grade solutions delivering measurable business value
Ability to lead projects, teams, and cross-functional initiatives
Experience working with healthcare, safety, real-world, or enterprise-scale data environments is preferred
Experience presenting scientific work to technical and non-technical audiences is required
Proficiency in Python, R, and SQL
Expertise in statistical methods, predictive modeling, machine learning, deep learning, generative AI, and large language models
Understanding of cloud-based analytical architectures
Experience deploying AI/ML solutions using modern MLOps, CI/CD, and model lifecycle management practices
Understanding of data engineering, feature engineering, and scalable analytical architectures
Understanding of regulatory expectations, validation principles, governance requirements, and responsible AI practices
Strong analytical, problem-solving, communication, and stakeholder management skills
Ability to bridge business strategy, scientific methodology, and technical implementation

Benefits

Comp & perks

Consolidated retirement plan (pension)
Savings plan (401(k))
Long-term incentive program
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year; 48 hours per calendar year for employees residing in Colorado; 56 hours per calendar year for employees residing in Washington
Holiday pay, including Floating Holidays – 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Parental Leave – 480 hours within one year of birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Inclusive interview process and disability accommodations