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

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Data Analytics & Computational Sciences

Data Science Portfolio Management

Professional

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

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.

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Johnson & Johnson Innovative Medicine is recruiting for Associate Director, R&D Neuroscience Data, Data Science & AI - Ophthalmology to be located at one of our offices in Cambridge MA, Titusville NJ, Raritan NJ, Spring House PA, or San Diego CA (La Jolla area). Remote work arrangements may be considered on a case‑by‑case basis and if approved by the company.

We are seeking an Associate Director, R&D Neuroscience Data, Data Science & AI (DDSAI) - Ophthalmology to join our 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 Associate 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.

• Innovative Data Analysis:
  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.
• Digital Endpoints & Tools:
  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.
• 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.
• Generative AI & Multimodal Integration:
  App…