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Guardant Health focused on rare-cell diagnostics
 
Engineering, Full Time       Posted: Saturday, May 11, 2019
 
   
 
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JOB DETAILS
  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

Responsibilities:

· 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.

Skills/Experience:

· 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.

#LI-LC1

Additional Information

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

 
 
 
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