Data Analyst - School of Medicine Ophthalmology Eagle Eye Suite

Emory University Research Data & AI Systems OfficerEmory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.The Eagle-Eye Suite and the Ophthalmic Engineering & Innovation Laboratory (OEIL) are seeking a highly motivated, technically skilled, and exceptionally organized Research Data & AI Systems Officer to oversee the management of large-scale ophthalmic imaging, clinical, and artificial intelligence datasets.The Data Officer will ensure that data generated by all research imaging devices are securely transferred, organized, documented, and fully backed up on the laboratory's network-attached storage servers. The individual will develop a centralized and searchable research database, maintain rigorous versioning and documentation of AI models, connect ophthalmic imaging devices to clinical systems, and support the deployment of AI algorithms within electronic medical record systems.The position requires expertise in data management, databases, software systems, AI workflows, and technical problem-solving. It also requires excellent communication skills, as the Data Officer will work closely with clinicians, researchers, engineers, AI scientists, information technology teams, regulatory offices, imaging-device manufacturers, and commercial technology partners.Key Responsibilities:Creates and maintains a data dictionary and meta data.Supports efforts to ensure that data standards are developed and maintained.Ensures that the uses of data through reports and queries are accurate.Supports business and system re-engineering and architecture development to define future data needs.Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.Performs other related duties as required.Additional Responsibilities:Ensure that data generated by all OCT and ophthalmic imaging devices are securely transferred, fully backed up, and reliably stored on the laboratory's network-attached storage servers.Develop and maintain a centralized, structured, and searchable master database for all research imaging devices and associated datasets.Ensure that all OCT and ophthalmic imaging devices are connected to CONTINUUM, the clinical PACS used by the Emory Eye Center.Maintain, organize, version, and document all AI models developed by the Eagle-Eye Suite and OEIL.Support the validation, integration, deployment, monitoring, and updating of AI algorithms within CONTINUUM and EPIC.Deploy and maintain secure local large language models, as needed, to support data organization and search, technical documentation, AI-model management, clinical reporting, clinician feedback, and related activities.Support the clinical evaluation and acceptance of AI algorithms by Emory eye-care clinicians.Contribute to the patient experience by supporting the near-real-time generation and delivery of validated, AI-assisted imaging reports during visits to the Eagle-Eye Suite.Ensure that all data-management, system-integration, AI-deployment, local-LLM, and clinical-evaluation activities comply with applicable Institutional Review Board protocols, HIPAA requirements, data-use agreements, and Emory policies.Minimum Qualifications:A bachelor's degree and one year of experience in data analysis, statistics, or a related field, OR an equivalent combination of education, training, and experience.Preferred Qualifications:Bachelor's or master's degree in computer science, data science, biomedical engineering, bioinformatics, software engineering, information systems, or a related field.Experience managing large datasets, servers, network storage, automated backups, and secure data-transfer workflows.Proficiency in Python and SQL, with experience using Linux, relational databases, APIs, and version-control systems such as Git.Familiarity with machine-learning workflows, including dataset and model versioning, validation, deployment, and monitoring.Experience with tools for containerization, AI experiment tracking, and dataset and model versioning is desirable.Familiarity with local large language models, medical imaging, OCT/OCTA, DICOM, PACS, EPIC, or 3D visualization is an asset.Knowledge of data security, HIPAA, Institutional Review Board requirements, and the management of protected health information.Excellent organizational, technical problem-solving, and documentation skills, with the ability to work independently and manage multiple projects.Excellent communication and interpersonal skills, with the ability to coordinate effectively with a broad range of stakeholders, including clinicians, researchers, AI scientists, information technology teams, regulatory offices, device manufacturers, and commercial partners.Note: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance. Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at least seven business days in advance to allow adequate time for coordination.