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Guardant Health // rare-cell diagnostics
Engineering, Full Time       Posted: Monday, May 06, 2019
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  Company Description

Guardant Healthis a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary blood tests, vast data sets & advanced analytics.The Guardant Health Oncology Platform is designed to leverage our capabilities in technology, clinical development, regulatory & reimbursement to drive commercial adoption, improve patient clinical outcomes & lower healthcare costs.
In pursuit of our goal to manage cancer across all stages of the disease,Guardant Healthhas launched two liquid biopsy-based tests, Guardant360 & GuardantOMNI, for advanced stage cancer patients, & is developing programs for recurrence & early detection, called Project LUNAR. Since its launch in 2014, Guardant360 has been used by more than 5,000 oncologists, over 40 biopharmaceutical companies & all 27 of the National Comprehensive Cancer Network centers.

Job Description


You will have the responsibility to influence the designs of Guardant Health's compute infrastructure products & build self-healing capabilities into them.

You will focus on improving the in-house workflows & leverage cloud to maximize performance.

Design, build & implement software features for the product that increase reliability, availability & performance.

Optimization of existing algorithms to efficiently use cloud infrastructure & distributed systems.

Genomic Data is core of our work & you will contribute towards maximizing its availability & usage.

Participate in brainstorming sessions, create & maintain a highly productive & motivating work environment.

Participate in on-call rotation in support of critical products.

Provide written documentation & specifications.


Experience developing scalable applications in AWS ecosystem.

Experience developing & maintaining Kubernetes infrastructure.

Experienced with RESTful interfaces & architecture.

Experienced in Python & knowledge of Golang.

Experience with distributed processing & clustered applications

Thoughtful with system designs & Architecture.

Familiarity with NGS data formats & tools will be nice.

Great communicator with great written & verbal fluency in English

Ability to work independently, with minimal supervision

Dedicated to make a difference in a rapid-paced environment.

Education : BS, MS preferred, in computer science, computational biology, or related field.


Additional Information

All your information will be kept confidential according to EEO guidelines.

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