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Software Engineer: Full Stack


Job ID : 14490

Job Title : Software Engineer: Full Stack

Location : Whitefish, Montana

Company Name : Truwl

Industry : Information Technology

Salary : $79,000 - $124,000  per year

Job Type : Fulltime

Posted on: 2020-06-23


Required Skills : AWS, GCP, Python3, Test Driven Development, Javascript, Full Stack Web Application

Benefits : Medical Insurance,Dental Insurance,Vision Insurance,Life Insurance


Job Description

The ideal candidate will have a passion for reproducible science, for enabling researchers to make data-driven discoveries in genomics, and have expertise in Python, cloud platforms, and Javascript. They will enjoy working in a close-knit, collaborative startup environment, and be excited to see their contributions put to use. The Software Engineer will contribute to both front-end and back-end infrastructure development. Responsibilities may shift as needs change.   

Required Skills and/or Experience:

  • Passion for learning, invention, and science
  • Willingness to learn from and teach other team members
  • The ability to effectively communicate in a helpful, positive way with a small team
  • At least 2 years of experience writing code as a strong individual contributor
  • Experience with cloud computing platforms including GCP and AWS
  • Experience with full-stack web application programming and debugging
  • Experience with continuous integration and delivery
  • Expertise with Python 3
  • Experience with test-driven development
  • Solid understanding of database schema design and normalization techniques
  • Experience with Javascript-based web technologies: React.js, Node.js

Desired Skills and/or Experience: 

  • UX design
  • Background in life sciences
  • Competency with workflow languages used in bioinformatics: CWL, WDL, Snakemake, and/or Nextflow
  • Experience with Python-based web frameworks like Flask and Django
  • REST-based and GraphQL stateless data source backends

Required Education:

  • B.S., M.S., or Ph.D. in physical sciences, mathematics, data science, computer science or demonstrated knowledge and capability equivalent.

 

 

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