An AI-Powered Startup providing a system of intelligence for life sciences. They're building deep integrations across pharma's data systems to build a layer of artificial intelligence to power broad decision making.
The goal is to index the entire universe of pharma data, empower hundred-step AI agents that will drive the next generation of pharma decision-making, and directly impact the rate of progress in both AI and human health.
They're partnering with some of the biggest names in pharma and have strong early traction with a healthy pipeline to grow into.
Opportunity
Data is the lifeblood that powers pharma intelligence, insights, and decision-making. We need to stay up to date on the universe of events happening in pharma and as a Data Engineer you will own and lead data engineering projects including web crawling, data ingestion, data modeling, and search.
You will design and build robust, scalable data pipelines to support our AI models.
You'll manage databases with focus on optimizing data storage and retrieval, ensuring speed and efficiency.
You'll also lead the way to designing data models that best support our users' experience and workflows.
What we're looking for..
Experience with Python, Postgres SQL, and AWS
A strong track record of building production ready / robust Data Pipelines
Experience with multimodal processing of data, as well as chunking, embedding, and vector databases.