Our team specializes in developing tools and workflows to analyze somatic mutations found in tumor and normal tissue samples. One of the many challenges in this area involve analyzing archived FFPE samples that often present problematic sequence artifacts. We devise methods to counteract these sources of error and to continually expand the limits of detection for our tools.
Our team is actively developing variant annotation tools that are both more accurate than existing tools, but also orders of magnitude faster. We aspire to bridge the gap between variant discovery and providing actionable information for research and clinical use.
We are seeking an exceptional individual to join our team in developing analysis tools that will be used by researchers and clinicians worldwide. These tools will be incorporated in Illumina’s expanding oncology portfolio and used in high visibility projects such as the 100,000 Genomes Project.
- Creation of novel sequence analysis workflows (i.e. read alignment, variant calling, and variant annotation) to support both research and clinical products.
- Design, prototype, and implement computational algorithms that utilize both statistical and machine learning approaches.
- Software optimization at the design, algorithm, and source code level.
- Identify opportunities to improve the bioinformatics user experience and implement solutions.
- Collaborate with internal project teams and with external organizations.
- Contribute to the bioinformatics open source community.