Data Scientist role at Vivo, engaging in data transformation and machine learning on large datasets. Focus on big data analytics using modern tools and methodologies in a telecom environment.
JJ
Hybrid Associate Director, AI Quality and Governance – R&D Data Science, Digital Health
Posted last month
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
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