Research Assistant

Columbia University

United States

August 18, 2021


Research Assistant

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  • Requisition no: 516192
  • Work type: Full Time
  • Location: Medical Center
  • School/Department: Neurology
  • Grade: Technical Grade 5
  • Categories: Research (Lab and Non-Lab)
  • Position Summary

    A research assistant position is available in the Departments of Neurology and Pathology at Columbia University Medical Center in New York, NY (https: // www.

    We are looking for an enthusiastic and energetic individual to join our research effort investigating genetic, molecular, and behavioral variation in neurological disease, including Parkinson's, Huntington's, and Frontotemporal Dementia. This position will be carrying out bioinformatics analysis of next- generation sequencing and spatial data, and will work jointly with the Menon, Al-Dalahmah, Hargus, and Goldman labs.

    The candidate will develop, execute, and interpret bioinformatics, machine learning, and computational biology algorithms to process and analyze genetic, single-cell transcriptomic (RNA-seq), epigenetic, and spatial transcriptomic data from human brain tissue. In addition, the candidate will work closely with wet lab scientists to help design follow-up experiments to validate findings from the analysis.


  • Responsible for assembling, executing, and developing the latest analysis approaches for omics data.
  • Implement and develop machine learning methods for cross-modal data analysis.
  • Contribute to QA/QC of pilot and production data sets.
  • Display initiative and independence in providing rapid results to various investigators generating experimental data.
  • Prepare summary reports of data and results for dissemination to colleagues and collaborators.
  • Directly respond to inquiries regarding projects being managed. Produce subsets of data for distribution to collaborators as approved by the principal investigators.
  • Minimum Qualifications

  • Bachelor's degree in computer sciences, bioinformatics, computational biology, computational neuroscience, applied mathematics, statistics, biostatistics, physics, or related area, and at least one and one-half years of experience or equivalent in education, training and experience.
  • Demonstrated programming skills
  • Demonstrated experience with building pipelines for at least one “omics” data modality (genetics, transcriptomics, epigenetics, proteomics)
  • Prior experience analyzing and interpreting single-cell RNA-seq data and spatial transcriptomics data
  • Strong organizational skills in managing large datasets
  • Programming experience in R, Python, Perl, or C/C++
  • Ability to work independently, display initiative within a team environment, and respond rapidly to requests
  • Preferred Qualifications

  • Master's degree
  • The ideal candidate should have a quantitative background (Computer Science, Statistics, Biostatistics, Computational Biology, Applied Mathematics or Bioinformatics), and substantial experience in computational work and coding.
  • In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or spatial transcriptomics) is required, and successful applicants will receive on-the-job training for other data modalities.
  • Other Requirements

  • The candidate should have good knowledge of programming languages for implementing computational algorithms on lage-scale data (R, Python, Perl), as well as experience working in Linux/Unix on high-performance computing/cluster platforms.
  • Equal Opportunity Employer / Disability / Veteran

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

    Applications open: Jul 13 2021 Eastern Daylight Time Applications close:

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