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

Overview 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 MedTech, 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 jnj.com. 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 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 Johnson & Johnson Innovative Medicine is recruiting for Associate Director, R&D Neuroscience Data, Data Science & AI – Ophthalmology to be located on‑site at one of our offices in Cambridge MA, Titusville NJ, Raritan NJ, Spring House PA, or San Diego CA (La Jolla area). Role Summary 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. Key Responsibilities 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: 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. Real‑World Evidence Integration: 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, and other real‑world data sources. Collaboration & Leadership: Build strong cross‑functional collaborations within the company and spearhead external partnerships with academic institutions, technology providers, regulators, and industry consortia. Qualifications 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 a 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; experience in ophthalmology is 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 electronic health records 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. Compensation and Benefits The anticipated base pay range for this position is $137,000 to $235,750. The company maintains highly competitive, performance‑based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. Eligible benefit programs include medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, and group legal insurance. Employees may also participate in the company’s consolidated retirement plan (pension) and savings plan (401(k)). Time Off Benefits 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 of work, personal, and family time; up to 40 hours per calendar year of work, personal, and family time Required Skills Advanced Analytics Business Case Modeling Consulting Cross‑Functional Collaboration Data Privacy Standards Data Science Data Structures Digital Fluency Digital Strategy End to End Implementation Global Market Negotiation Organizing Predictive Modeling Process Improvements Product Portfolio Management Technical Credibility Preferred Skills Advanced Analytics Business Case Modeling Consulting Cross‑Functional Collaboration Data Privacy Standards Data Science Data Structures Digital Fluency Digital Strategy End to End Implementation Global Market Negotiation Organizing Predictive Modeling Process Improvements Product Portfolio Management Technical Credibility Equal Opportunity Employer Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource. #J-18808-Ljbffr Johnson & Johnson Innovative Medicine