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Columbia University
Data Analyst
Edtech.com's Summary
Columbia University is hiring a Data Analyst to support research projects in statistical genetics, computational biology, and multi-omics integration at the Gertrude H. Sergievsky Center. The role analyzes large-scale genomic and single-cell datasets, with a focus on neurodegenerative and neuroinflammatory diseases. The Data Analyst also contributes to scientific writing and helps translate genetic findings into biological insights.
Highlights
- Perform statistical analyses and provide programming support for collaborative research projects under faculty supervision.
- Participate in statistical consultations with clinicians and researchers and present findings at collaborative meetings.
- Contribute to protocol development, statistical analysis plans, grant applications, and manuscripts.
- Develop, manage, and evaluate data management tools and perform data queries for research studies.
- Bachelor's degree or equivalent education and experience required; a degree in biostatistics, computational biology, or bioinformatics is preferred.
- Use programming languages such as R, Python, or Bash for data analysis.
- Work with genomic data, including GWAS summary statistics or genotype data.
- Salary range of $66,300 to $75,000 per year.
Data Analyst Full Description
Data Analyst
Columbia University Medical Center — Gertrude H. Sergievsky Center — Full Time
Job Type: Officer of Administration
Regular/Temporary: Regular
Hours Per Week: 35 hours
Salary Range: $66,300.00 – $75,000.00
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
We 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.
Responsibilities
- 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 analysis results 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%).
- Perform related duties and responsibilities as assigned or requested (5%).
Minimum Qualifications
- Requires a bachelor’s degree or equivalent in education and experience.
Preferred Qualifications
- Bachelor’s degree in Biostatistics, Computational Biology, Bioinformatics, or a related discipline, or an equivalent combination of education and experience.
- Demonstrated experience in data analysis and programming.
- Master’s degree in Computational Biology, Bioinformatics, Biostatistics, or a related field preferred.
- Experience in statistical genetics or the 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 verbal communication skills, with strong attention to detail.
- Strong organizational skills and the ability to work effectively in a collaborative team environment.
- Experience contributing to scientific publications or collaborative research projects is preferred but not required.
Pay Transparency
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.
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