Data Analyst

Data Analyst

• 560283
• Columbia University Medical Center
• Obstetrics and Gynecology
• Full Time
• Opening on: Oct 22 2026
• Grade 104

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• Job Type: Officer of Administration
• Bargaining Unit:
• Regular/Temporary: Regular
• End Date if Temporary:
• Hours Per Week: 35
• Standard Work Schedule:
• Building:
• Salary Range: $67,300 - $85,000

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:

Columbia University Irving Medical Center (CUIMC) provides global leadership in scientific research, health and medical education,and patient care. Home to approximately 4,472 students and over 3,000 part-time and full-time faculty members, the health sciences campus includes the four professional schools-the Vagelos College of Physicians and Surgeons, the College of Dental Medicine, the School of Nursing, and the Mailman School of Public Health.

Under the direction of Dr. Xiao Xu, Herbert and Florence Irving Associate Professor in the Division of Gynecologic Oncology, and reporting to the Clinical Research Manager for Gynecologic Oncology, the Data Analyst will support an NIH-funded research study and other assigned research projects in the Division of Gynecologic Oncology. The analyst will analyze large healthcare databases using statistical software and assist with the collection of questionnaire, interview and focus group data.

We seek a Data Analyst with advanced statistical analysis skills and experience. Potential applicants will have completed at least a bachelor's degree (a master's degree preferred) in statistics/biostatistics or epidemiology, and are interested in applying their skills to health services research. The Data Analyst will work closely with a multidisciplinary team of physicians, clinical researchers, epidemiologists, and statisticians. Hence the ability to work well in teams and communicate effectively are paramount.

Responsibilities:

Data Analysis Responsibilities

• Conduct statistical data analyses for an NIH-funded study focused on improving hormone therapy use in patients with premature or early menopause, including managing large research databases and performing rigorous statistical analysis using advanced analytical and programming methods.
• Maintain study datasets and research documentation to ensure data quality and integrity, including developing/updating data dictionaries, variable specifications, and analytical files; and performing data cleaning, validation checks, reconciliation across sources, and version control.
• Summarize, organize, and interpret study findings, including producing analysis outputs such as results tables and figures; and clearly communicate findings to investigators and stakeholders to inform study decisions and reporting.
• Support scientific dissemination, including assisting with the preparation of abstracts, posters, scientific reports, and manuscripts for publication; contributing to the methods/results write-up; and ensuring reproducibility of analyses through well-documented codes and statistical analytic files.
• Conduct research data management and statistical analyses/programming for additional studies, including data collection support, analytic planning, dataset construction, execution of analyses, and results summary/reporting.
• Perform other related duties as assigned.

Health Services Research Data Collection and Analysis Responsibilities

• Perform data collection needed for health services research projects, including medical chart abstraction; participant recruitment, screening, enrollment, and follow-up; and administering questionnaires, interviews, and focus groups.
• Maintain accurate and complete data collection records and research files.
• Conduct analysis of qualitative interview and focus group data, in addition to quantitative data analysis.
• Perform other related duties and responsibilities as assigned/requested.

Minimum Qualifications:

• Bachelor's degree in statistics/biostatistics or epidemiology, with at least 3 years of relevant experience.
• Demonstrated proficiency in statistical programming, such as SAS, R, Stata, and/or Python.
• Strong analytical and quantitative skills, with the ability to apply statistical methods to complex datasets.
• Ability to work independently, demonstrating sound judgment, initiative, and critical thinking with minimal supervision.
• Excellent written and verbal communication skills, including the ability to present findings clearly to diverse audiences.
• Ability to manage multiple projects simultaneously, with strong organizational skills and attention to detail.
• Collaborative and adaptable, with the ability to work effectively, positively, and constructively as a team member.
• Ability and willingness to learn new methods and programs.
• Capacity to work successfully in a deadline driven, multitasking environment.

Preferred Qualifications:

• Master's degree in statistics/biostatistics or epidemiology with at least 3 years of experience in statistical data analysis, ideally in an academic or research setting.
• Experience working with healthcare, clinical, or administrative datasets.
• Experience applying advanced analytical techniques, including machine learning methods for data analysis.
• Experience with survey research and mixed-methods research, including both quantitative and qualitative approaches.
• Bi-lingual (English and Spanish)

The Department of Obstetrics and Gynecology is dedicated to the goal of building a multicultural faculty and staff committed to teaching, working and serving in a diverse community, and strongly encourages applications from candidates of traditionally underrepresented backgrounds.

We are continuously seeking to recruit individuals who will enhance the diversity of our workplace and the effectiveness of our organization.

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, qualification, 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.

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.