Data Analyst
Columbia University
New York, NY, United States
27 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$66,300.0 - $75,000.0
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Bash Shell
Bioinformatics
Computational Biology
Computer Programming
Python (Programming Language)
Data Management
Job description
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
- In 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 %
Requirements
- 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.
Other Requirements
- 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).
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