New

Data Analyst

Columbia University
United States, New York, New York
Jan 17, 2026
Job Type: Officer of Administration Bargaining Unit: Regular/Temporary: Regular End Date if Temporary: Hours Per Week: 35 Standard Work Schedule: Building: Salary Range: $65,300.00 $89,800.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary This position provides computational image analysis support to faculty, staff, and trainees within the Radiology Department, specifically the CBIG and CIMBID groups. The role involves designing and data analysis of algorithms (e.g., segmentation, reconstruction), coding in Python/C++, performance optimization, and collaborating with scientists on applications such as disease-progression tracking or autonomous navigation. Responsibilities Analyze large, complex image datasets (e.g., microscopy, medical scans, satellite) to derive quantitative insights and correlate with clinical or experimental data. Develop scalable pipelines to process large clinical datasets, manage image quality (QC), and ensure data consistency. Assist in building custom software and scripts for image analysis, data management, and visualization. Work with radiologists, clinicians, data scientists, and engineers to integrate tools into clinical workflows and research. Perform other duties as assigned in support of research goals. Minimum Qualifications Bachelor's degree or equivalent in education and experience. Preferred Qualifications Preferred bachelor's degree in statistics, mathematics, computer science, or data science MSc degree in related field Prior experience in medical imaging research is preferred. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.