Personalized Medicine • Machine Learning • Oncology • Software
11 - 50 employees
⚕️ Healthcare Insurance
☁️ SaaS
🤖 Artificial Intelligence
💰 $3M Corporate Round on 2019-09
November 10
🇺🇸 United States – Remote
🔔 Pennsylvania – Remote
💵 $80k - $120k / year
⏰ Full Time
🟢 Junior
🧑💻 Full-stack Engineer
🚫👨🎓 No degree required
Personalized Medicine • Machine Learning • Oncology • Software
11 - 50 employees
⚕️ Healthcare Insurance
☁️ SaaS
🤖 Artificial Intelligence
💰 $3M Corporate Round on 2019-09
• Gaining a deep understanding of oncology data and clinical workflows to be a better champion for our users • Working with product and engineering leadership to build a performant, user-friendly web application • Improving our frontend architecture as we expand our suite of products to meet a variety of clinical use cases • Adding new functionality to our GraphQL and REST APIs to support new product features • Instrumenting our API layer for metric collection, monitoring and alerting • Integrating the data generated by our data capture tool into our data platform and descriptive analytics product • Providing feedback (both design and code) to your peers
• A solid base of software engineering experience, typically 1-5 years, in a modern single-page application environment • Fluency with the JavaScript / TypeScript ecosystem, modern frontend frameworks and build tools (we use React, Typescript, Webpack) • Strong foundation in programming, algorithms, and software application design • Tendency to seek simple, elegant solutions to complex problems • Ability to analyze and optimize existing solutions • Familitiary with various database technologies, including relational, document, key/value, columnar, etc (we use Postgres, Redis, MongoDB) • Experience with cloud computing providers (we use AWS) • Familiarity with modern containerized environments (we use Docker & Kubernetes) • Bonuses • Experience with healthcare data standards and integrations (HL7, FHIR, DICOM, etc.) • End-to-end experience working on greenfield products from inception to release • Experience with data visualization techniques and libraries
• 401k • health and dental insurance • flexible vacation policy • paid parental leave • eBooks • online courses • workstation setup • Events: happy hours, team dinners, conversations with oncologists (will return soon!)
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