Knowledge is our product, and data is our platform. We need engineers who look at a data set and want to unlock the answers it holds inside. Engineers who look at a data set and think about how to make sure it is correct. Engineers who look at a data set and want to make infrastructure to help build it better, faster, and stronger.
As a Data Engineer, you will work closely with oncologists and statisticians to 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, visualizations, and services for accessible and flexible data analysis. You will learn more than you ever thought possible about how cancer is treated in the real world, and your work will directly support oncology research and publications.
Who you are:
Bonus points if you have any of the following:
Why You Should Join Our Team
A career at Flatiron is a chance to work with everyone involved in the future of cancer care and research—all under one roof. Researchers, data scientists, designers, clinicians, technologists and many more all work together to improve cancer care and accelerate research.
At Flatiron, we strive to build and maintain an environment where employees from all backgrounds are valued, respected and have the opportunity to succeed. You'll also find a culture of continuous learning, broad and inclusive employee support offerings, and a commitment to supporting our team members in all aspects of their lives—at home, at work and everywhere in between. We offer:
Flatiron Health is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
At Flatiron, we believe that learning from the experience of every cancer patient is an imperative — it is the key to accelerating research and continuing to improve the quality of care. What stands in the way is an overwhelming technology challenge: Much of the available, real-world clinical data is unstructured and stored across thousands of disconnected community clinics, medical centers and hospitals.
New York, NY, USA