Software Engineering Intern (Summer 2018)
We have openings for engineers across our different product lines, infrastructures, technology stacks, as well as experience levels. We welcome full-stack engineers, engineers that are excited about backend, engineers that are excited about data, engineers that are excited about technical leadership, and really any engineer that is excited about engineering!
Our engineering team
The Flatiron Health engineering team builds and runs data processing pipelines, algorithmic and human-operated data curation tools, and customer-facing data analytics and visualization tools. We build systems that clean, structure and understand clinical-level patient data as we build the largest, most comprehensive set of oncology data intelligence. We scale pipelines to handle the world's oncology data with creative engineering solutions to open-ended oncology data problems. Read about our engineering culture!
Our data pipeline takes in full clinical patient records and produces normalized, high-fidelity, queryable data that is ready to be mined for medical and operational insights. We’ve built a unified data set that is unparalleled in its depth and accuracy, and gives our partners the capability to ask questions about data that weren't answerable before now.
We work in a fast-paced, high-information-volume environment with complex domain challenges, which means context is key and there's always more to learn and soak up. We want to know oncology data cold — better than anyone else in the industry — and we believe doing that requires building a culture where we all like coming to work each day. In our culture, decisions are transparent and data-driven, and people are empowered to make waves.
Are you interested in changing the way the oncology world thinks about data?
As a Flatiron Software Engineering Intern, you will:
- Design and build our data infrastructure and pipelines
- Continuously ship new features for our cloud applications, from the backend to the frontend
- Learn more about cancer and the day-to-day intricacies of oncology than you can possibly imagine
- You are graduating between December 2018 and June 2019 with a BS or MS in computer science or related field
- You write clean, well-structured code, and are proficient in either functional or object-oriented programming
- You are comfortable in a Unix/Linux environment
- You are experienced in algorithms or systems software
- You are enthusiastic about working on a multi-disciplinary team
- You are passionate about our mission to improve healthcare through technology
- Contribute to an open source project
- Speak fluent Python
- Have used Pandas, R, or another data analytics tool on a messy, real-world data set
- Have developed apps using modern frontend frameworks like AngularJS / Ember.js
- Have experience with SQL or another query language
- Have deep empathy for data and a strong understanding of statistics
- Understand experimental design, and can build for collection, measurement and interpretation of results