SUMMARY

RESPONSIBILITIES

• Develop new methods for analyzing next-generation sequencing data.
• Develop and employ bioinformatics tools for protein modeling, sequence alignment, and quantitation.
• Develop and manage compute pipelines in production environments.
• Collaborate across functions to develop tools to enhance data analysis workflows.

REQUIREMENTS

• PhD in Bioinformatics or related field with 3-5 years direct experience in NGS and optionally Proteomics
• Significant experience in hands-on analysis of next-generation sequencing data analysis
• Develop and maintain statistical analytical tools and bioinformatics pipelines
• Programming strength in Python/Perl, and R scripting (Bioconductor)
• Experienced in Unix/Linux environment
• Self-motivated and ability to work with and support many functions across organization
• Experience in machine learning and statistical analysis of big data
• Minimum 2 years experience Experienced with cloud computing including AWS and/or Google Cloud Platform setting-up and maintaining cloud-based computing environment (i.e. AWS, Azure, etc.)
• Experience with bioinformatics DNA and Protein analysis tools and databases (NCBI, UCSC Genome Browser, IGV, ExPASy tools and databases, homology modeling, DNA and protein sequence alignment algorithms, UniProtKB, SWISS-MODEL, etc.)
• Use GitHub coding and documentation standards

COMPENSATION

HOW TO APPLY