Computational Scientist - Scientific Discovery Team | Karius

Computational Scientist - Scientific Discovery Team

Karius is building the next generation of infectious disease diagnostic assays.   We recently launched the first clinical diagnostic test that uses a minimally invasive blood draw to detect 1,000 pathogens regardless of the source of infection. The test relies on the detection of small amounts of cell-free nucleic acids released into plasma.

We are seeking a candidate to work in a rapid, iterative research environment at the interface of our analytics, molecular biology, and medical teams. You will use rigorous quantitative reasoning to analyze and design experiments that allow us to understand more deeply, troubleshoot, and improve our existing and future assays. You will combine clinical and genomic data to gain novel insight into the interaction between pathogens and disease. This role sits at the heart of where important decisions are made about our technology, and a creative and energetic candidate will have the opportunity to shape the future of our assays and infectious disease medicine!  

You Will:
·      Generate hypotheses, design experiments, and glean insights that improve the understanding of the genomic signatures of pathogen infection
·      Design and implement algorithms and statistical models to drive discovery and interpretation using genomic, metagenomic, and other kinds of biological and clinical data
·      Produce robust, reproducible research findings out of multiple sources of heterogeneous data
· Collaborate with the scientists, physicians, and engineers to make meaningful contributions to scientific discoveries and the invention of technologies

You Bring:
·      Demonstrated skill in analysis and visualization of biological data to drive insight and decision-making
·      Excellence at technical communication within a cross-functional team
·      Creativity in generating hypotheses and proposing experiments and analyses to test them
·      Familiarity with bioinformatics tools, approaches and workflows, particularly those related to next-gen sequencing
·      PhD in computational biology, statistics, biology or related fields

Full-time
Redwood Shores