Director, R&D Neuroscience Data, Data Science & Artificial Intelligence Ophthalmology

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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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 inCambridge 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.

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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 diseasesuncovering 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.
• 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 (EHRs) 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 related discipline.
• 8 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 with 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 from complex data.
• Hands-on experience implementing digital health technologiessuch as wearables sensors and mobile platformsin 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.

This position will be located on-site at one of our campuses in either Spring House PA Cambridge MA Titusville NJ Raritan NJ or San Diego CA. Remote work arrangements may be considered on a case-by-case basis and if approved by the company. Occasional travel for crossfunctional workshops design sessions and team meetings may be required.

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.
The anticipated base pay range for this position is $164000 to $282900. 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. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporations performance over a calendar/performance year. Bonuses are awarded at the Companys discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical dental vision life insurance short- and long-term disability business accident insurance and group legal insurance. Employees may be eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following 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
Additional information can be found through the link below. compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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