Director, R&D Neuroscience Data Science & Digital Health – Ophthalmology

Role Summary

We are seeking a visionary Director, R&D Neuroscience Data Science & Digital Health – Ophthalmology to join the Neuroscience Data Science and Digital Health (DSDH) team. This leader will shape and execute innovative strategies leveraging multimodal data sources, digital health technologies, computer vision, artificial intelligence (AI), and clinical/real‑world evidence (RWE) to accelerate drug discovery and development.

• Drive the development and application of advanced AI/ML methods, including cutting‑edge computer vision techniques applied to ophthalmic imaging data (e.g., optical coherence tomography and fundus images), to uncover disease mechanisms and identify novel biomarkers.
• Lead the development and validation of novel digital endpoints and tools; engage with regulatory stakeholders to ensure these innovations enhance clinical trial design and meet regulatory requirements.
• Develop and apply sophisticated statistical models using real‑world and clinical data to generate insights into disease progression, treatment outcomes, and patient stratification; leverage longitudinal disease modeling, Bayesian methodologies, and causal inference techniques.
• Apply emerging generative AI approaches to boost data analysis and knowledge discovery, integrating diverse multimodal datasets (imaging, clinical, wearable, etc.) for a more holistic understanding of ophthalmic diseases.
• Partner with Clinical Development and Medical Affairs to integrate RWE into evidence generation strategies, supporting trial optimization and regulatory submissions.
• Build strong cross‑functional collaborations within the company and spearhead external partnerships with academic institutions, technology providers, regulators, and industry consortia.

• Advanced degree (PhD, MD, or equivalent) in computational ophthalmology, neuroscience or a quantitative field such as biomedical engineering, data science, biostatistics, computational biology, or related discipline.
• 8+ years of relevant industry or academic experience with a strong record of success in applying data science within biology/medicine, ideally influencing cross‑disciplinary teams at the intersection of data science, biomedical research, and clinical development.
• Experience in clinical development, with a preference for ophthalmology expertise.
• Deep experience in computer vision and deep learning applied to ophthalmic imaging (fundus photography and OCT); familiarity with model validation, reproducibility, and regulatory considerations for AI tools in healthcare.
• Experience working with large‑scale, multimodal clinical datasets (including EHRs and sensor/wearable data) and advanced statistical modeling (longitudinal analyses, Bayesian methods, causal inference).
• Hands‑on experience implementing digital health technologies—wearables, sensors, mobile platforms—in clinical research or care settings; understanding of operationalizing these tools in clinical trials is a plus.
• Proficiency in programming and data analysis tools/environments (Python, R, or comparable platforms) with the ability to develop and validate analytical workflows.
• Excellent communication skills to translate complex data‑driven insights into clear, actionable strategies for stakeholders.
• Track record of scientific contributions demonstrated by relevant publications, conference presentations, or patents in data science, ophthalmology, or digital health.

Base pay range: $ – $. Eligible for vacation, sick time, holiday pay, personal & family time, parental leave, bereavement leave, caregiver leave, volunteer leave, military spouse time‑off, and other benefits. Additional information available at

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities.