Associate Director, R&D Neuroscience Data, Data Science & AI – Ophthalmology

Johnson & Johnson

Associate Director, R&D Neuroscience Data leveraging data science and AI to accelerate drug discovery and maximize patient impact in ophthalmology. Collaborating with cross-functional teams to deliver patient-centric solutions.

Posted 5/22/2026full-timeSan Diego • California, Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $137,000 - $235,750 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 and maximize patient impact.
Collaborate with cross-functional experts in the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory Affairs, and Patient-Reported Outcomes.
Build strong cross-functional collaborations within the company and spearhead external partnerships with academic institutions, technology providers, regulators, and industry consortia.

Requirements

What you’ll need

An 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.
6+ 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 is required with experience in ophthalmology preferred.
Deep experience in computer vision and deep learning applied to biomedical imaging (especially ophthalmic imaging such as 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).
Proven skills in advanced statistical modeling (e.g., longitudinal analyses, Bayesian methods, causal inference) to glean meaningful insights from complex data.
Hands-on experience implementing digital health technologies—such as wearables, sensors, and mobile platforms—in clinical research or care settings.
Understanding of how to operationalize these tools in clinical trials is a plus.
Proficiency in programming and data analysis tools/environments (e.g., Python, R, or comparable platforms) with a hands-on ability to develop and validate analytical workflows.
Excellent communication skills with the ability to translate complex data-driven insights into clear, actionable strategies for diverse stakeholders, including senior leadership, clinicians, and external partners.
A track record of scientific contributions demonstrated by relevant publications, conference presentations, or patents in fields such as data science, ophthalmology, or digital health.
Familiarity with healthcare data standards, data privacy regulations, and the pathways for regulatory qualification of novel digital endpoints or AI tools.

Benefits

Comp & perks

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
pension
401(k)
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

computer visiondeep learningdata sciencebiostatisticsstatistical modelinglongitudinal analysesBayesian methodscausal inferenceprogrammingdata analysis

Soft Skills

communicationcollaborationleadershipstrategic thinkingproblem-solvinginterpersonal skillsinfluencingtranslating insightscross-disciplinary teamworkrelationship building

Certifications

PhDMD