Data Scientist in Clinical Operations creating analytics and insights that enhance R&D productivity and patient centricity. Collaborating closely with stakeholders to support business needs through advanced analytics and decision support.
JJ
Hybrid Associate Director, AI Quality and Governance – R&D Data Science, Digital Health
Posted last week
About the role
- Associate Director of AI Quality and Governance in Innovative Medicine at Johnson & Johnson. Leading AI governance initiatives and fostering compliance within R&D for digital health and data science.
Responsibilities
- Develop and maintain an AI governance roadmap that supports R&D strategy, enabling informed decision making and proactive management of AI related risks.
- Develop, implement, and drive adoption of quality assurance processes for AI/ML and GenAI development, integrate those processes with existing medical product and digital health tool development processes, and ensure adherence to internal and external regulatory standards.
- Drive alignment on AI quality/governance initiatives across R&D and enterprise, partnering with JJT to streamline governance workflows and promote consistent adoption across R&D.
- Create and disseminate playbooks, toolkits, and standardized guidance to support teams in implementing responsible AI practices.
- Establish and track metrics to evaluate governance effectiveness, including processes for audits, reviews, and risk based assessments of AI systems.
- Serve as a technical and strategic advisor on AI governance topics
- Collaborate with therapeutic areas, functional partners, and senior stakeholders to drive cross functional collaboration and alignment.
- Represent Johnson & Johnson in external AI governance forums and consortia, contributing to industry wide standards and best practices.
Requirements
- Advanced degree (PhD or Master’s) in Computer Science, Data Science, Artificial Intelligence, Biomedical Informatics, or a related field, with additional training or certification in AI ethics, governance, or regulatory compliance.
- 10+ years of experience in AI/ML, data science, or digital health, preferably in a regulated industry (e.g., pharma, healthcare, biotech).
- Experience in AI governance in regulated environment, with proven track record of leading AI governance initiatives and processes for AI development, model lifecycle management and deployment, etc.
- Knowledge of global regulatory frameworks in medical products and AI (e.g. FDA, EMA, ICH, EU AI Act, ISO/IEC standards, etc.)
- Deep understanding of AI/ML & GenAI model development, deployment, and monitoring, including AI risk assessment and mitigation
- Experience working with cross-functional teams including regulatory affairs, IT, and data science, product development.
- Strong experience in a matrixed organization, with excellent communication skills and strategic thinking capabilities.
- Ability to drive cultural change around responsible AI use and digital transformation.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- 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; for employees who reside in the State of Washington –56 hours per calendar year
- 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 the birth/adoption/foster care of a child
- Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Senior Specialist developing data - driven insights and strategies for commercial success at Merck's Ophthalmology team. Engaging with stakeholders to produce actionable analysis rooted in diverse data sources.
Associate Director driving data - driven insights for US marketing teams at healthcare leader. Collaborating on analytics strategies to support commercial objectives in ophthalmology.
Data Scientist focusing on supporting Canadian business units with advanced analytics at Sun Life. Collaborating with cross - functional teams to drive value through data science techniques.
Senior AI and Machine Learning Research Engineer at CACI applying machine learning and statistics to solve complex RF problems and design robust data pipelines. Required to have a strong mathematical background and experience in cloud - based solutions.
Enterprise Data Manager working on data ownership and governance for global organization. Collaborating with business and technology stakeholders to improve data quality and usability.
Senior Manager, Logistics Data & Analytics leading initiatives for data architecture and analytics in global supply. Supporting operational excellence and informed decision - making across various logistics functions.
Data Scientist developing models and strategies for credit card products in a fintech company. Collaborating with Risk Management to analyze and report on various risk metrics.
Senior Specialist - Data Science at Baker Hughes developing analytics solutions and collaborating with various teams to solve complex challenges. Requires a master's or bachelor's degree and 5 - 7 years of experience in analytics.
Data Science Intern working on computer vision for Johnson & Johnson's Innovative Medicine. Collaborating in a pharmaceutical environment to develop deep learning models for medical imaging.