A bioinformatics research assistant 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.
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
Bachelor's degree and at least one and one-half years of related experience or equivalent in education, training and experience.
Knowledge of various related laboratory procedures and techniques required.
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 rpreferred, and successful applicants will receive on-the-job training for other data modalities
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
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.
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.