LeanTaaS | Software Engineer, Data Scientist, Data Engineer, DevOps Engineer, QA Engineer, Product Manager, Data Analyst | Charlotte, NC or Santa Clara, CA | Onsite | Fulltime
We're hiring backend Python and Java developers, frontend Angular developers, QA engineers, data scientists, data engineers, product managers, engineering managers and more. Job openings can be filled in Santa Clara or Charlotte, North Carolina.
https://hire.withgoogle.com/public/jobs/leantaascom
Everyone complains that our healthcare system is inefficient and costly. If the idea of working with smart people to actually solve the problem and make it significantly better for our future generations seems worth your time, reach out to me directly at hireme@leantaas.com and I'll put you in touch with the right hiring manager.
We're a Series C funded healthcare tech company based in Silicon Valley obsessed about making our hospitals more efficient with data science and machine learning. 65+ healthcare organizations including the likes of Stanford, Duke, NYP, Dignity, Memorial Sloan Kettering, Tenet and more rely on our products to lower patient wait times, improve staff satisfaction and overall financial performance.
Our team includes successful entrepreneurs, engineers, product managers and data scientists from Google, LinkedIn, Apple, Symantec MIT, Stanford, UC Berkeley, Google, McKinsey, and more. We've raised $55 million to date from top tier VCs in Silicon Valley. CBInsights recently named us among the top 100 AI companies in the world.
On the data engineering side, our stack is Airflow/Python. On the web services side, our stack is Java/Play and Angular 2/Typescript. There's also Python/Flask products. We're fully cloud hosted on AWS and leverage modern tooling and automation to produce high quality code - and we ship every week!
Our vision is to build an "Air Traffic Control" for hospitals - a centralized command and control center that routes the right information to the right department as patients flow through the system - if we get that right, we'll be able to significantly make our hospitals more efficient and eliminate waiting and wastage and solve the problem once and for all.