Overview Senior Director, R&D Data Science & Digital Health – Ophthalmology role at Johnson & Johnson Innovative Medicine. This position can be located in Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25% domestic and international travel. Our work focuses on developing medicines and digital health solutions with a goal to accelerate drug discovery and improve patient outcomes. Learn more at https://www.jnj.com/innovative-medicine. Role Summary We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for ophthalmology. The role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact. You will partner with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient-Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with ophthalmic disorders. Key Responsibilities Define and execute the data science and digital health strategy for ophthalmology, integrating computational biology, AI/ML, digital health, and clinical/RWE insights. Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets. Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways. Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery. Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment. Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven science. Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational scientists to deliver on strategic initiatives. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required. 7+ years of experience as a people manager is required. Experience in clinical development with demonstrated expertise in ophthalmology preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required. Technical Expertise in at least two of the following areas: 1) multiomics integration and advanced statistical/causal inference methods; 2) digital health technologies and novel endpoints in clinical research; 3) large-scale clinical datasets, EHR and real-world data with advanced modeling and patient stratification. Track record of scientific contributions (presentations and publications) in this field is required. Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required. Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus. Proficiency with programming and analytics environments (e.g., Python, R) and ability to guide technical teams at a strategic level is required. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required. This position offers a hybrid schedule (3 days on-site, 2 days remote) and can be located in Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego, CA. Travel ~25% domestically and internationally. 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 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. The company is committed to inclusive interview processes and accommodation requests can be made via https://www.jnj.com/contact-us/careers. The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Bonuses, benefits and retirement plans are in accordance with company policy. Details can be found at https://www.careers.jnj.com/employee-benefits. #JNJDataScience #JNJIMRND-DS #JRDDS

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