Full Stack Software Engineer

Your work as a Software Engineer in the Genospace team at Ontada will impact individuals and organizations across the healthcare landscape: patients searching for the best treatment options, researchers seeking to make advances based on a sea of high-dimensional data, physicians deploying personalized medicine in everyday practice, and laboratories conducting some of the most advanced analyses in the world.

What You’ll Do:

• Work on a small team to design, develop, test, release, and support features in our web-based, cloud-hosted applications
• Provide feedback to your teammates through code and software design reviews, collaborating with and learning from each other while delivering great software
• Help shape and implement enhancements to our engineering process, products, and technology platform

Minimum Requirements

Typically requires 2+ years of relevant experience.

Critical

• 2+ years of professional experience in software development
• Experience building web applications or data processing systems
• Familiarity with web technologies and a depth of experience with at least one common programming language
• Experience with front end tech, back-end tech and data base technology
• A demonstrable ability to design software to meet functional and technical requirements and to communicate your designs effectively
• Ability to consider problems creatively and critically while collaborating with product owners, data scientists, and designers in order to come up with solutions   

Additional qualifications that are helpful but not required:

• An interest in making an impact on healthcare and clinical research through technology
• Strong commitment to teamwork and a humble attitude
• Familiarity with the various technologies in our stack:
  • Front End – Vue.js
  • Back End – Java, Groovy, Grails, Kafka, Micronaut
  • Data Tier – MongoDB, Elasticsearch
• A professional or academic experience in a related field including healthcare, biology, genomics, etc.

Education:

• 4-year degree in computer science, engineering, or another STEM field or equivalent experience