Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology
Remote / Online - Candidates ideally in
Spring House, Montgomery County, Pennsylvania, 19477, USA
Listed on 2026-06-04
Spring House, Montgomery County, Pennsylvania, 19477, USA
Listing for:
Johnson & Johnson
Remote/Work from Home
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn
more at
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science Portfolio Management
Job Category:
Professional
All Job Posting Locations:
Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
Job Description:
Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology to be located at one of our sites in Cambridge, MA, Titusville, NJ, Spring House PA, or La Jolla, CA. Remote work arrangements may be considered on a case-by-case basis and if approved by the company.
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at
Role Summary
We are seeking a visionary Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology to join the Neuroscience Data, Data Science & Artificial Intelligence (DDSAI) 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, and maximize patient impact.
By combining ophthalmology expertise with strong data science acumen, this role will enhance clinical trial execution and ensure that new solutions are patient-centric and ready for regulatory and payer acceptance. As an integral member of a highly matrixed team, the Director will collaborate with cross-functional experts in the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory Affairs, and Patient-Reported Outcomes, and forge strategic external partnerships to infuse new ideas and capabilities.
This is a unique opportunity to redefine how we understand and treat eye diseases-uncovering novel digital biomarkers and endpoints, stratifying patients for more personalized care, and ultimately delivering better outcomes for people living with ophthalmic diseases.
Key Responsibilities
* Innovative Data Analysis:
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.
* Digital Endpoints & Tools:
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.
* Advanced Statistical Modeling:
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.
*…
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