Join our team!

  • We get to measurably improve the lives of real people with real diseases, and regularly talk to our users.
  • We use a modern set of frameworks and technologies: Ruby On Rails 5.2, React 16.3.2, ActiveRecord, PostgreSQL, AWS.
  • You’ll have freedom to tackle the problems you want, especially during our quarterly “Wow Weeks”, but also within regular sprints.
  • We have all of the usual tech company amenities: beer, a very active ping pong table, a roof deck, and free lunch on Fridays.

What will you do?

  • You’ll work closely with a few other engineers, a designer and a product manager to encourage our users to donate their health data so that we can drive new discoveries in health science.
  • You’ll be writing code across the full stack to build features in a web app.
  • Use common Agile processes to build user value within a 2-week sprint

What do you need to be successful?

  • You have previous experience as a professional software engineer, ideally in web development. We’re a dynamic growing team with ability to hire at a variety of levels. We’re looking for engineers who can build great applications.
  • Previous Rails experience is not required. We believe that good engineers can learn new skills quickly.
  • Willingness to learn new skills and to share your skills with other engineers and stakeholders.
  • Openness to collaboration across the organization. You’ll work with the product and design teams very closely and should expect to share code and knowledge with your fellow engineers on an hourly basis.

About PatientsLikeMe

PatientsLikeMe, the world’s largest personalized health network, helps people find new options for treatments, connect with others, and take action to improve their outcomes. The company has worked with every major pharmaceutical company and a range of government organizations to bring the patient voice to research, development and public policy. With 600,000 members, PatientsLikeMe is a trusted source for real-world disease information and a clinically robust resource that has published more than 100 research studies.