Company

Mednet is StackOverflow for doctors. We are a rare company that is profitable, growing over 100% annually and making a positive social impact. Our mission has attracted some of the smartest and most accomplished people in technology and medicine. You will be working with leaders who have advised fortune 500 CEOs , built and sold companies to Google, and designed medical school curriculums.

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.

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 scaling Mednet to new medical fields this year and rebuilding the underlying knowledge platform to support new insights and products. Improving our data processing and engineering will play a key part in our next phase of development. As our first data engineering hire, you will work closely with our CTO and engineering team. You will be responsible for ingesting and structuring medical data and designing a pipeline and service that enable us to cleanly scale to doctors in new specialties. You will help us scale our editorial operations and evolve our data products by using LLMs and helping design the Mednet knowledge graph.

Job Requirements

• You are passionate about your work having a social impact
• Experience with designing and building production systems
• Ability to own standalone mission critical services.
• 4-10 years of engineering experience.
• Additional experience (preferred but not required)
  • Experience working with LLMs (open and closed source) and/or NLP
  • Experience with Spark
  • Experience with Go
  • Experience building recommendation systems
  • 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.)