Translucent builds the agentic AI platform for healthcare finance. This role sits between a customer's financial and clinical data and the AI systems running on top of it. You will reverse-engineer customer-specific business rules, from payer contract logic to chart-of-accounts idiosyncrasies, and build the transformations that map raw customer data into Translucent's unified ontology and semantic layer. Analytics engineering is the source of truth the whole platform runs on. Without it being right, there is no AI and no trust.
You will feel at home here if you know healthcare data well enough to spot when a number is wrong before anyone else does.
What You'll Do
You will sit at the intersection of customer healthcare finance problems and the AI that solves them. Analytics Engineers get the data in accurately and encode customer business logic. This role builds on top of that: the context layer agents operate on, tailored agents and predictive models for each customer, and the iteration that turns outputs into decisions and behavioral change. You will work in Python with the company's agent harnesses and eval tooling, partnered with the value team and directly with customers.
You'll feel at home here if you were called a data scientist three to five years ago and have been shipping applied AI since.
What You'll Do:
Salary
$150,000 - $200,000
Location
New York, United States
Experience
5+ years
Total raised
$34M
Last stage
Series A
Investors
Jack O'Hara
Co-Founder & CEO
Max Jones
Co-Founder & COO
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.