About this role
Director of Neuroscience Data Science & Digital Health for Ophthalmology, leading AI/ML initiatives, multimodal data integration, and real-world data strategies to improve ophthalmic disease understanding and clinical trial design.
Key Responsibilities
- Innovative Data Analysis: drive AI/ML on ophthalmic imaging
- Digital Endpoints & Tools: develop novel endpoints and regulatory strategies
- Real-World Evidence integration
- Generative AI & multimodal data integration
- Collaboration & Leadership across teams and externals
Technical Overview
Leads advanced analytics, computer vision on ophthalmic imaging, real-world data integration, and generative/multimodal AI approaches; emphasizes regulatory readiness and external partnerships.
Ideal Candidate
The ideal candidate is an experienced executive in data science for ophthalmology, with 8+ years applying AI/ML to ophthalmic imaging and multimodal clinical data, and a track record of leading cross-functional teams toward regulatory-ready digital health solutions.
Must-Have Skills
PhD or equivalent in computational ophthalmologyneuroscience or related quantitative field8+ years applying data science to biology/medicine with leadership experienceExperience applying ML/AI to ophthalmic imaging and clinical dataExperience with large multimodal datasets (EHRswearables)Hands-on programming in Python and RStrong communication and matrix leadership
Nice-to-Have Skills
Generative AIReal-World Data integrationClinical development experiencePublications or patents in data science/ophthalmology/digital health
Tools & Platforms
PythonRJupyterSQL
Required Skills
PhD in computational ophthalmology or related field; 8+ years data science in biology/medicine; computer vision in ophthalmic imaging; multimodal clinical datasets; Python and R; ML/AI; data governance; clinical/digital health experience
Hard Skills
An advanced degree (PhDMDor equivalent) in computational ophthalmologyneuroscience or a quantitative field8+ years of relevant industry or academic experience with success in applying data science within biology/medicineDeep experience in computer vision and deep learning applied to biomedical imaging (especially ophthalmic imaging such as fundus photography and OCT)Experience working with large-scalemultimodal clinical datasets (including EHRs and sensor/wearable data)Advanced statistical modeling (longitudinal analysesBayesian methodscausal inference)Hands-on experience implementing digital health technologies in clinical research or care settingsProficiency in Python and R with ability to develop/validate analytical workflowsExcellent communication and leadership across scientifictechnicaland business stakeholders
Soft Skills
Strategic VisionCollaborative InfluenceInnovation MindsetTalent DevelopmentCommunication Excellence
Keywords for Your Resume
director ophthalmology data scienceophthalmologydigital healthaimlcomputer visionophthalmic imagingoctfundus imagingreal-world datareal-world evidencemultimodal analyticsgenerative aicausal inferencebayesian methodsregulatory readinessclinical developmentdata governancematrix leadershipdata sciencepythonrjupytermultimodal
Deal Breakers
8+ years applying data science to biology/medicine, Experience with ophthalmic imaging, Hands-on Python and R proficiency
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