Computational Biologist

Memorial Sloan Kettering Cancer Center•New York, NY
•$102,800 - $164,500•Remote

About The Position

Memorial Sloan Kettering Cancer Center seeks a Computational Biologist to support research projects by designing, developing, and implementing software tools for processing and analyzing high-throughput next-generation sequencing data. The role includes providing one-on-one consultation and training to research scientists, bioinformatics engineers, and software engineers in the use of bioinformatics software tools and databases. The Computational Biologist is responsible for program design, coding, testing, debugging, and documentation within the bioinformatics data processing and analysis system. The position also designs, develops, and operates software and databases as part of that system, and provides consultation and guidance to research scientists and other bioinformatics and software engineers at the Center. Full-time telecommuting is permitted.

Requirements

  • A master's degree or equivalent in Bioinformatics, Computer Science, Mathematics, or a related field, plus 3 years of experience in the position offered or a related position; or a bachelor's degree in one of these fields, plus 5 years of such experience.
  • At least 3 years of experience working with scripting languages, including Perl and Python.
  • At least 3 years of experience with statistical programming, including R.
  • At least 3 years of experience with data visualization techniques using ggplot, RShiny, or seaborn.
  • At least 3 years of experience with Linux, including shell scripting and command-line tools.
  • At least 3 years of experience using HPC systems such as SLURM, LSF, or SGE.
  • At least 3 years of experience applying genetics principles to bioinformatic data analysis.
  • At least 3 years of experience using NGS tools related to FASTQ, BAM, and VCF generation.
  • At least 3 years of experience with large-scale data organization and standardization.
  • At least 3 years of experience with molecular biology, including cloning, PCR, and pulldown assays.
  • Coursework experience in next-generation sequencing library preparation and sequencing principles.

Responsibilities

  • Design, develop, and implement software tools for processing and analyzing high-throughput next-generation sequencing data.
  • Provide one-on-one consultation and training on bioinformatics software tools and databases.
  • Perform program design, coding, testing, debugging, and documentation for the bioinformatics data processing and analysis system.
  • Design, develop, and operate software and databases as part of the bioinformatics data processing and analysis system.
  • Provide consultation and guidance to research scientists and other bioinformatics and software engineers.

Benefits

  • Full-time telecommuting permitted.
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