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

Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional Job Title: Associate Director, R&D Neuroscience Data, Data Science & AI – Ophthalmology (DDSAI) Locations: Cambridge, MA; Titusville, NJ; Raritan, NJ; Spring House, PA; San Diego, CA (La Jolla area). Remote work arrangements may be considered on a case‑by‑case basis and if approved by the company. Role Summary We are seeking an Associate Director to lead the development and execution of data science strategies that integrate 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. This leader will collaborate with cross‑functional teams in Neuroscience, Clinical Development, Quantitative Sciences, Regulatory Affairs, and Patient‑Reported Outcomes, and forge strategic external partnerships. Key Responsibilities 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 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. Apply emerging generative AI approaches to boost data analysis and knowledge discovery, integrating diverse multimodal datasets (imaging, clinical, wearable, etc.) for a 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. Qualifications 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. Experience in clinical development is required; 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. 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 the 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. 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 Anticipated base pay range: $137,000 to $235,750. Eligibility for an annual performance bonus in accordance with applicable plans. Benefits include medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, group legal insurance, and participation in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Time off benefits: Vacation – up to 120 hours per year; Sick time – up to 40 hours per year; Holiday pay, including floating holidays – up to 13 days per year; Work, Personal and Family Time – up to 40 hours per year. EEO Statement 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