A research assistant position is available in the Departments of Neurology and
Pathology at Columbia University Medical Center in New York, NY
(https: // www. columbianeurology.org).
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
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
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
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
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
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Applications open: Jul 13 2021 Eastern Daylight Time
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