Stanford Clinical Genomics Service (SCGS) is a joint effort between Stanford Health Care (Stanford Hospital & Lucile Packard Children’s Hospital) and Stanford School of Medicine to provide best-in-class clinical genomics sequencing service for patients with unexplained heritable diseases and inherited cancer predisposition. As a member of SCGS, you will be joining a large team of Clinical Lab Scientists, BioInformaticians, Clinical Data Scientists, Curators, Genetic Counselors and Physicians working together to help provide genomics driven Precision/Personalized Medicine to patients. SCGS provides a unique opportunity to do both Clinical Genomics and research in Translational Genomics through collaborations with research labs within Stanford School of Medicine. SCGS is fully funded and is not dependent on Grants for its operations. We offer competitive salaries (even by Bay Area industry standards), generous benefits and a collaborative work culture with mutual respect.
Sr. Scientist – Algorithms will be responsible for evaluating current algorithms used in NGS analysis workflows and determine their suitability for use in a clinical diagnostics setting. This position, as part of the algorithm development team will help with benchmarking of bioinformatics tools and with rapid prototyping of new methods/tools. This position will interface with the Curation team to identify gaps in variant detection and annotation and develop novel algorithms and methods to fill those gaps.
Evaluate third-party NGS algorithms and tools for suitability of use in a Clinical setting.
Develop an extensive regression suite consisting of reference genomes (GA4GH/NIST) against which the various algorithms will be benchmarked.
Help with rapid prototyping of novel algorithms using R/Matlab.
Develop best protocols for analysis of NGS data including optimization of parameters, and consensus approaches across various tools.
Work closely with the data curators and genetic counselors to help improve the overall solve rate of cases.
Keep up to date with latest developments in applications of NGS in clinical diagnostics.
Maintain a high profile in the NGS and Bioinformatics community through publications, conference presentations and collaborations.