Responsibilities
• The primary responsibility is to work with our client's Proteomics Scientists to organize and analyze their mass spectrometry proteomics data sets to mine for new cancer drug targets.
• Additional responsibilities include: prioritize therapeutic targets for drug development, assisting laboratory scientists with data analysis.
Requirements
• Experience with processing raw proteomic data from modern mass spectrometers.
• Experience using shotgun proteomics search engines to identify post-translationally modified proteins.
• Experience analyzing peptide fragmentation patterns.
• Familiarity with biological annotation and ontology resources, such as Ensembl, GO, and UniProt. • Ability to clearly communicate complex ideas with co-workers.
• M.S. or Ph.D. with 3+ years of industrial or academic experience and familiarity with basic biological and statistical concepts, and experience leading a small team
Preferences
• Experience using Java, JavaScript, Python, R, Scala, or SQL to organize and analyze complex data sets.
• Workflow management and execution in an GNU/Linux, or MacOS, environment using shell scripts and Docker containers. Familiarity with Google Compute Engine is a plus.
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