These positions entail bioinformatics analysis of cancer genome sequencing data from next generation sequencing technologies for assisting in clinical decision-making. The applicant will be involved in NGS data analysis and interpretation, and clinical genomics knowledge mining and content derivation. Both research assistant professor and post-doctoral fellowship positions are available.
Position Description and Requirement
The ideal applicant will have a keen understanding of cancer genomics and clinical research through publication(s). The ideal applicant should have a keen understanding of cancer pathways and targeted therapeutics through publication(s). While this will be a bioinformatics-focused position, emphasis will be given on individuals with some experimental training or knowledge, individuals with an understanding of cancer biology and/or individuals with drug development.
Significant experience (peer reviewed publication) in the generation of Next Generation Sequencing (NGS) data is desired. This includes all of the following: 1) Sample assessment (DNA and RNA), 2) Next Generation Sequencing library preparation and quality control for multiple platforms, 3) Intimate knowledge of Next Generation Sequencing systems, 4) Knowledge of tools used for NGS data processing and analysis of DNA and RNA human sequencing.
Experience development of databases for curating cancer genome alterations for data mining and querying is a plus.