Syracuse
Management & Professional
Science and Medical Research
Full-time
Opening on: Feb 3 2026
Ophthalmology & Visual Science
Research Foundation
Data Manager/Statistician, E79
88093
N/A
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Job Summary:
The Data Scientist will join the Ophthalmology & Visual Sciences team to enhance research projects focusing on understanding gene expression and retinal disease. The role requires leading the development and maintenance of image analysis, data processing, and managing databases of the project. The candidate will also be responsible for orchestrating data extraction and cleaning processes to ensure data integrity, as well as conditioning AI models for advanced predictive analytics. The candidate will have the opportunity to work with team members to gain skills in advanced microscopy and sample preparation. Collaboration with cross-functional teams to influence strategic decisions in ongoing research projects and the application of data models for improving experimental accuracy are key aspects of the position. The candidate will also oversee the development of data management frameworks, ensuring data accessibility and integrity for informed decision-making.
Minimum Qualifications:
Master's Degree in Data Science or related field.
Preferred Qualifications:
Experience in data science and machine learning, with a focus on advanced data processing, AI model development, and statistical analysis. Proficiency in Python and various data engineering tools. Experience in managing data extraction processes and implementing neural networks and AI models for video and microscopy data. Strong background in conducting data analysis, developing predictive analytics or experience with advanced microscopy.
Work Days:
Monday - Friday; Some evening or weekend hours may be required to accommodate lab activities.
Message to Applicants:
Salary Range-$55,000-$70,000
Recruitment Office: Human Resources
**We are an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or disability or other protected classes under State and Federal law.