Johnson & Johnson is seeking a Director for R&D Neuroscience Data Science & Digital Health in Ophthalmology to lead innovative strategies utilizing advanced data science and digital health technologies. The role requires a strong background in ophthalmology and data science to enhance clinical trial execution, foster patient-centric solutions, and collaborate across a matrixed organization
Job Summary
Johnson & Johnson is committed to building a world where complex diseases are prevented, treated, and cured through innovative healthcare solutions.
The Director will lead innovative strategies leveraging multimodal data, AI, and digital health technologies to enhance ophthalmology drug development and patient outcomes.
Employees receive comprehensive benefits including vacation, sick time, parental leave, and volunteer leave, supporting work-life balance and inclusivity.
Matching Summary
Match Score: 85
Johnson & Johnson is seeking a Director for R&D Neuroscience Data Science & Digital Health in Ophthalmology to lead innovative strategies utilizing advanced data science and digital health technologies. The role requires a strong background in ophthalmology and data science to enhance clinical trial execution, foster patient-centric solutions, and collaborate across a matrixed organization.
Salary
Base: $164,000.00 - $282,900.00; Bonus/Equity: Not specified; Benefits: Vacation, sick time, parental leave, volunteer leave, and other company benefits
Skills & Requirements
Must-have
Advanced AI/ML methods
Computer vision for ophthalmic imaging
Multimodal clinical data integration
Advanced statistical modeling techniques
Digital health technology implementation
Clinical development experience
Programming in Python or R
Nice-to-have
Regulatory engagement for digital endpoints
Generative AI approaches
Cross-functional collaboration
External partnerships with academia and industry
Communication of complex data insights
Patient-centric clinical trial design
Key Requirements
PhD, MD, or equivalent advanced degree
8+ years industry or academic experience
Experience in clinical development
Expertise in ophthalmology preferred
Proven record in biomedical data science
Familiarity with healthcare data standards and regulations