You’ll be building tech to organize and normalize unstructured medical records, in order to answer highly detailed medical questions from our customers. These questions might look like, “when exactly was fentanyl administered during this patient’s hospital visit”, or “when was the patient turned over during their hospital stay”.
We have an LLM-based pipeline built out in Python as well as a Next.js UI. You’ll be working on improvements to our normalization pipeline, as well as major UI improvements. Most importantly, you’ll be helping drive the direction of the company as we strive towards our mission.
Our values:
- Scout Mindset believers: better to get your dopamine from improving your ideas than from having them validated (Nat Friedman).
- Cautious accelerationists: tech has the potential for tremendous good, if incentives are aligned.
- Flat culture: we strive to be a meritocracy. Everyone’s ideas deserve not just be heard, but to be respected.
- Inclusivity: diverse people have diverse ideas. Everyone is welcome.
- Zero blame: when we grow from our mistakes, so does our company.
- Fun: we work hard, but we work best when we’re having a good time. We’re an in-person company, but travel, games, and thinking are core to our culture.
Qualifications
- Hold a bachelor's or master’s degree in Computer Science, Computer Engineering, or Data Science, or equivalent work experience
- Ability to own projects end-to-end
- Strong communication and collaboration skills
- Strong backend systems architecture & design skills
Bonus Qualifications
- Familiarity or experience with AWS
- Familiarity or experience in legaltech
- Experience with building complex LLM data pipelines
We are a fully in-person company, must be willing to relocate to NYC. Able to sponsor TN or E3 visas.
Olive Legal
