Director, R&D Neuroscience Data, Data Science & Artificial Intelligence – Ophthalmology
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Job Description
Director, R&D Neuroscience Data position at Johnson & Johnson specializing in AI and data science for ophthalmology. Driving innovative strategies for drug discovery and clinical trial enhancements.
Responsibilities:
- 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).
- Lead 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.
- Build strong cross-functional collaborations within the company and spearhead external partnerships with academic institutions, technology providers, regulators, and industry consortia.
Requirements:
- 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.
- 8+ years of relevant industry or academic experience with a strong record of success in applying data science within biology/medicine.
- 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.
- 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:
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (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
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