Data Analyst
Listed on 2026-08-27
-
Research/Development
Research Scientist, Data Scientist
- Job Type: Officer of Administration
- Bargaining Unit:
- Regular/Temporary:
Regular - End Date if Temporary:
- Hours Per Week: 35
- Standard
Work Schedule: - Building:
- Salary Range: 66,300.
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.
- Job Type: Officer of Administration
- Bargaining Unit:
- Regular/Temporary:
Regular - End Date if Temporary:
- Hours Per Week: 35
- Standard
Work Schedule: - Building:
- Salary Range: 66,300.
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.
- Job Type: Officer of Administration
- Bargaining Unit:
- Regular/Temporary:
Regular - End Date if Temporary:
- Hours Per Week: 35
- Standard
Work Schedule: - Building:
- Salary Range: 66,300.
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.
- Job Type: Officer of Administration
- Bargaining Unit:
- Regular/Temporary:
Regular - End Date if Temporary:
- Hours Per Week: 35
- Standard
Work Schedule: - Building:
- Salary Range: 66,300.
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 SummaryWe are seeking a highly motivated Data Analyst to support research projects in statistical genetics, computational biology, and multi-omics integration, with a focus on neurodegenerative and neuroinflammatory diseases. The candidate will work closely with senior researchers to analyze large-scale genomic and single-cell datasets, contributing to data analysis, programming, and scientific writing to help translate genetic findings into biological insights.
ResponsibilitiesIn this role, typical responsibilities include:
- Perform statistical analyses and provide programming support for collaborative projects and consultations under faculty supervision - 65 %
- Participate in statistical consultations with clinicians and researchers and present results from analysis at collaborative meetings - 10%
- Contribute to protocol development, statistical analysis plans, and the preparation of grant applications and manuscripts - 10 %
- Develop, manage, and evaluate data management tools, and perform data queries for research studies - 10 %
- Performs related duties & responsibilities as assigned/requested - 5 %
- Bachelor's degree or equivalent in education and experience.
- Bachelor’s degree in biostatistics, computational biology, bioinformatics, or related discipline, or equivalent combination of education and experience.
- Demonstrated experience in data analysis and programming.
- Master's degree in computational biology, bioinformatics or biostatistics, or related field.
- Experience in statistical genetics or analysis of large-scale biological data.
- Proficiency in programming languages such as R, Python, or Bash.
- Experience working with genomic data (e.g., GWAS summary statistics or genotype data).
- Excellent written and oral communication skills and detail oriented.
- Strong organizational skills and ability to work effectively in a collaborative team environment.
- Experience contributing to scientific publications or collaborative research projects (preferred but not required).
Columbia University is committed to the hiring of qualified local residents.
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