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Oncora AI

SaaS data analytics for oncology care

Software Engineer - Full Stack

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timePhiladelphia, PA, USARemote

About the Job

Requirements

  • Typically 1–5 years of software engineering experience in a modern single-page application environment.
  • Fluency with the JavaScript and TypeScript ecosystem, modern frontend frameworks, and build tools, including React, TypeScript, and Webpack.
  • A strong foundation in programming, algorithms, and software application design.
  • Ability to analyze and optimize existing solutions.
  • Familiarity with database technologies, including relational, document, key/value, and columnar databases; the team uses Postgres, Redis, and MongoDB.
  • Experience with cloud computing providers; the team uses AWS.
  • Familiarity with modern containerized environments; the team uses Docker and Kubernetes.

Responsibilities

  • Gain an understanding of oncology data and clinical workflows to better support users.
  • Work with product and engineering leadership to build a performant, user-friendly web application.
  • Improve frontend architecture as the product suite expands to meet different clinical use cases.
  • Add functionality to GraphQL and REST APIs to support new product features.
  • Instrument the API layer for metric collection, monitoring, and alerting.
  • Integrate data generated by the data capture tool into the data platform and descriptive analytics product.
  • Provide design and code feedback to peers.

Desired Qualifications

  • Experience with healthcare data standards and integrations such as HL7, FHIR, and DICOM.
  • End-to-end experience working on greenfield products from inception to release.
  • Experience with data visualization techniques and libraries.

About the Company

Oncora AI

SaaS data analytics for oncology care

Oncora AI provides software-as-a-service tools that help oncology teams collect, analyze, and act on patient data within existing clinical workflows. Its suite includes Oncora Patient Care for clinical documentation and billing, Oncora Evidence for clinical research, and Oncora Registry for building cancer registries. The platform uses data analytics and machine learning to identify patterns and support treatment decisions, reporting, and research workflows. By focusing on oncology data, partnerships, and industry recognition, its goal is to improve cancer treatment outcomes and accelerate clinical discoveries.

Company size
1-10
Company stage
Early VC
Total funding
$5.6M
Headquarters
Philadelphia, PA
Founded
Not listed

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