Company

Mednet is StackOverflow for doctors. We are a question and answer platform where doctors can get questions answered by leading practitioners in their field. This solves a huge problem in medicine: getting every doctor the best possible information on how to treat their patients.

We started with oncology, and are now the most used digital platform in the field: over 80% of oncologists use Mednet. Our business model is based on teaching doctors about newly developed drugs that can improve their patients' outcomes. Our users say we are the best online resource to get help with difficult cases and our revenue is growing at 3x YoY.

Our Values

• Doctors first - Any decision we make must start by asking whether we are helping doctors make better decisions for their patients
• Have a can-do attitude - No work is below any member of the team. We all pitch in to help achieve our mission
• Take ownership - Develop your strategy, execute on it, iterate until you get the results that you want
• Treat each other right - Treat your colleagues with respect, kindness, professionalism and integrity

Job Description

We’re planning to scale Mednet to 8 new medical fields this year, and building products to drive growth and engagement will play a key part in enabling that goal. As a full stack engineer, you will work closely with our CEO and engineering team. You will be responsible for using data such as claims data to build products that customize what doctors see on our platform.

Job Requirements

• You are passionate about your work having a social impact
• Experience building front end and back end production systems
• Ability to own standalone mission critical services.
• 3-10 years of engineering experience.
• Additional experience (preferred but not required)
  • Experience building recommendation systems
  • Experience with NLP, especially MedBert or other medical NLP systems
  • Experience with React
  • Experience working with medical claims data
  • Understanding of medical terminology and the healthcare system
  • Experience or familiarity with The Medical Subject Headings (MeSH)
  • Familiarity with the Python scientific computing stack (Pandas, Numpy, SKLearn, etc.)