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HERC: Metro New York & Southern Connecticut Data Analyst in New York, New York

Employer Name: Columbia University

Job Type: Officer of Administration Bargaining Unit: Regular/Temporary: Regular End Date if Temporary: Hours Per Week: 35 Standard Work Schedule: M-F 9am-5pm Building: Salary Range: $60,000.00 - 64,000.00 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 A Data Analyst position is available in the Department of Neurology 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 neurodegenerative disease and cognitive decline. This position will be carrying out bioinformatics analysis of next-generation sequencing and proteomics data and will work with a variety of investigators in the department through existing collaborations. The position therefore, offers a stimulating and multi-disciplinary environment and the opportunity to work with a variety of researchers at Columbia University. There will be many opportunities to contribute to multiple ongoing national and international collaborative projects. Along with your CV, please include a cover letter describing previous work, research interests, and future goals. Please provide contact details for 2 references. Responsibilities Responsible for assembling, executing, and developing the latest analysis approaches for omics data. Work with database administrators to develop a data management system for large-scale omics 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 principal investigators. Develop, execute, and interpret bioinformatics, machine learning, and computational biology algorithms to process and analyze genetic, transcriptomic (RNA-seq), epigenetic, and proteomic data from human brain tissue. Work closely with database administrators to develop a robust, efficient, and query-able data management system for large-scale omics data. Be part of an integrated team of neurologists, data scientists, cellular biologists, and human immunologists who come together to perform team-based projects. Minimum Qualifications Bachelor's degree or equivalent in education and experience. Preferred Qualifications 0-2 years of experience. 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 proteomics) is preferred, and successful applicants will receive on-the-job training for other data modalities. Good knowledge of programming languages for implementing computational algorithms on large-scale data (R, Python, Perl), as well as experience working in Linux/Unix on high-performance computing/cluster platforms. Demonstrated programming skills. Demonstrated experience with building pipelines for at least one ?omics? data modality (genetics, transcriptomics, epigenetics, proteomics). 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. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

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