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

Johnson & Johnson

Associate Director developing innovative strategies leveraging multimodal data and AI in ophthalmology at Johnson & Johnson. Collaborating with diverse cross-functional teams to advance drug discovery and patient outcomes.

Posted 6/4/2026full-timeRemote • California, Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $137,000 - $235,750 per yearWebsite

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Hard Skills

AI methodsML methodscomputer visionstatistical modelingBayesian methodologiescausal inferencedata analysisdeep learningprogramming (Python, R)digital health technologies

Soft Skills

communication skillscollaborationcross-functional teamworkstrategic thinkingproblem-solvinginfluencingtranslating insightsleadership

Tools & Technologies

Optical Coherence Tomographyelectronic health records (EHRs)wearable sensorsmobile platformsclinical datasetsregulatory submissionsdigital endpointsdata privacy regulationshealthcare data standardslongitudinal analyses

Certifications & Qualifications

PhDMD

Industry Keywords

computational ophthalmologybiomedical engineeringdata sciencebiostatisticscomputational biologyclinical developmentophthalmologyreal-world evidence (RWE)clinical trial designbiomedical imaging

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Collaborate in 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.
Collaborate in the development and validation of novel digital endpoints.
Engage with regulatory stakeholders to ensure these innovations enhance clinical trial design, improve patient monitoring and care pathways, 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 to inform decision-making.
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.
Support trial optimization and regulatory submissions by incorporating insights from large-scale clinical datasets, electronic health records (EHRs), and other real-world data sources.
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
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