We have openings for engineers across multiple product lines, technology stacks, and experience levels. We welcome full-stack engineers, passionate backend engineers, engineers that are enthusiastic about data, aspiring architects, and emerging engineering leaders.
Are you dreaming of building elegant and scalable systems to help medical providers unleash the power of their data? As a Backend Engineer, you will design, implement and deploy services, data stores, instrumentation and infrastructure.
Are you passionate about using modern web technologies to enable clinical workflows and help customers visualize their data? As a Full Stack Engineer, you will craft intuitive web interfaces to make complex data accessible and useful through extensive web-based applications that improve oncologists' complex workflows so that they can focus on their patients.
Do you want to synthesize data into knowledge? As a Data Software Engineer, you will build software that will help our customers discover novel insights into their data. You will design our data infrastructure, and use it to develop extensible, robust data and analytics pipelines, tools and services for accessible and flexible data analysis.
You hold a BS, MS, or Ph.D. in computer science or related field
You have strong experience with languages like Python, C++, Java, or C#
You are passionate about performance, reliability, and scalability of systems
You are inspired by our mission to improve healthcare through technology
You seek simple approaches to complex problems
Bonus points if you have any of the following:
Have developed apps using modern front-end frameworks like React|AngularJS|Ember.js
You have a good understanding of relational databases like PostgreSQL, MySQL or MSSQL
Have real passion for data and a strong understanding of statistics
Have developed distributed data processing systems against large, heterogeneous data sets
Have developed scalable high-availability web applications
Contribute to open source projects
Have taken a leading role in delivering complex software systems all the way to production