Software Engineer (Full Stack)

About the role

We are looking for an experienced engineer to join our mission driven team to help develop our data platform that integrates and transforms multiple imperfect and messy data sources into clean, usable data so that we can learn from every cancer patient.

As a main contributor on our Platform and Integrations team, you will play a vital role in developing and operating our core data platform and helping scale it to serve additional hospitals.

We are a small team trying to tackle a very large problem, so we need teammates that are ultimately accountable to themselves and continuously push themselves, the product and the organization forward.

What you will be doing

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

About you

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

Salary: $80-120k plus equity compensation

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!)

You get to work with smart, passionate people on a product that will have a direct impact on the quality of life for cancer patients

What to expect in the hiring process

Introductory phone call with the Head of Operations (30 minutes zoom call)

Phone interview with VP of Engineering (60 min zoom call)

A small take-home code challenge

Virtual onsite, including a technical discussion, engineering team meet, and co-founder meet (90-120 minute zoom call)

Final stages, potential follow-up interviews, and offer discussions

Sorry, we do not offer visa sponsorships at this time.

Oncora Medical is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religious creed, disability, ancestry, national origin, sexual orientation, gender identity, or gender expression

About us

Oncora is an oncology software and data company dedicated to helping physicians and scientists collect and use real-world data to improve outcomes for cancer patients. Our machine learning algorithms, which are deployed in active clinical environments, accurately predict oncology outcomes such as unplanned hospitalization, survival, and recurrence.

Our software products include: a clinical workflow and data entry system for oncology clinical care, a data warehouse that leverages connections to other healthcare software systems such as EMRs, PACS, to amass real-world, regulatory-grade oncology data, a machine learning platform to train and validate predictive models of key oncology events, a machine learning API to power external software tools, and a virtual clinical trial platform that allows pharma and device companies to leverage automated medical image analysis to advance new technologies in the fight to cure cancer.

We work with world-leading cancer centers such as MD Anderson and Northwell Health, global device companies such as Varian Medical Systems, and innovative biopharma companies. Our team is mission-driven to its core.

Originally posted on Himalayas