Why is one person more likely to develop a disease—like cancer, diabetes or Parkinson’s—than someone else? Why would one person respond differently to treatment than another? What is the most effective treatment for each patient? Illumina’s technologies are helping researchers and clinicians around the world to answer these questions and others, on a scale not even possible a few years ago.
Our team specializes in developing algorithms and software for genomic data, from raw images through interpreted human genomes. Challenges in this area include handling specific sample types or variant calling problems. In addition, assembling methods into an end-to-end pipeline poses integration challenges. We develop methods to address these challenges and provide a sample-to-answer pipeline with high reliability, speed, and completeness of results.
We are seeking an exceptional individual to join our team in developing DNA analysis solutions for use by researchers and clinicians worldwide. This software will be a key part of new sequencing platforms. These methods will also be a key component of population-scale sequencing projects as well as a sample-to-actionable-answer workflow for rare and undiagnosed genetic disease
Construction and improvement of high-performance image analysis pipelines for new sequencing platforms
Creation and iterative enhancement of sequence analysis workflows (i.e. read alignment, variant calling, and variant annotation) to support both research and clinical products.
Design, prototype, and implementation of computational algorithms that utilize both statistical and machine learning approaches.
Software optimization at the design, algorithm, and source code level.
Deep collaboration with other teams to ensure a smooth, end-to-end workflow with external organizations.