Job Description
General Experience and Skills:
The ideal candidate should have:
A comprehensive understanding of the entire software engineering process, including requirement refinement, estimation, design, development, and testing.
Proficiency in agile methods and rapid deployment cycles.
Strong organizational skills to efficiently handle multiple changing priorities and projects.
The ability to collaborate effectively with interdisciplinary teams, spanning sales, marketing, finance, bioinformatics, and scientists.
A knack for quickly mastering new skills, methods, and tools.
Exceptional verbal and written communication skills to convey results clearly and concisely.
Mandatory qualifications:
3+ years of experience in software development.
Adept in navigating a Linux command line interface.
Fluency in Ruby on Rails.
Proficiency automating backend processes.
Experience performing analysis on large data sets
Familiarity with relational databases.
Expertise building technical and user documentation for tools, pipelines, and applications.
Working understanding of cloud infrastructures like AWS.
Desired qualifications:
Preference will be given to candidates with domain knowledge of Genomics, bioinformatics and life sciences.
Fluency in R, Java, JavaScript and Python.
Experience working with Docker and containerized applications.
Experience with next-generation sequencing (NGS) data pipelines.
Experience working with data analytic pipelines like Nextflow.
Experience with standard bioinformatics software tools and packages.