The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our rapidly expanding Clinical Informatics division within the NYGC CLIA Laboratory. As a Bioinformatics Scientist specializing in molecular diagnostics, you will be responsible for the handling of custom analysis and reporting of next-generation sequencing (NGS) data for cancer, conformant to CLIA / CLEP guidelines. You will work as part of a team of highly experienced laboratory staff, informatics scientists and analysts at the NYGC CLIA Laboratory. You will be asked to perform variant calling analysis from whole genome, whole exome and transcriptome patient sample sequencing data. You will be part of a team of CLIA scientists and laboratory personnel taking an active part in generating, developing and reporting patient sample genomic profile reports. You will assist clinical informatics and laboratory scientists in developing and validating new NGS based clinical laboratory tests You should have significant experience in cancer genomics, including familiarity with commonly used algorithms for alignment, variant calling, structural variant calling and clinical biomarker identification. Expertise in one or more common disease areas would be ideal with specific focus on cancer and therapeutic mechanisms. You will use your experience in NGS variant calling analysis while participating in retrospective research of clinical oncology data. This position will report to the Assistant Director, Clinical Oncology Informatics. We anticipate that this position will be remote through June 2021.
Key Responsibilities include (but are not limited to):
- Analyzing sequencing data using established pipelines.
- Contributing to the update, management and maintenance of next generation sequencing (NGS) data analysis pipelines.
- Collaborating and consulting with external and internal researchers on the analyses of NGS data.
- Interpret and present clinical NGS based diagnostic results to treating physicians and tumor boards.
- Developing and implementing innovative computational approaches for the analysis of large sequence datasets and sample cohorts from NGS technologies.
- Participating in grant application writing.
- Staying current on innovations in DNA sequencing analysis as related to clinical laboratory practice.