Built for every party in the deal. Prudentia combines expert scientific frameworks, AI reasoning, and secure infrastructure to move assets from evaluation to term sheet. Backed by GV.
About the role
Our clients don't buy software in the abstract. A BD team at a top-20 pharma company, a biotech evaluating its pipeline, or an investment fund running diligence on a drug asset each arrives with its own data, its own workflows, its own security review, and its own definition of a good answer. Closing the gap between what our platform does out of the box and what that client needs this quarter is engineering work, and it's this role. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of software engineering experience, including meaningful time in client-facing, forward deployed, solutions engineering, or technical consulting roles where you shipped code that clients depended on
- Strong full-stack or backend engineering skills: Python and SQL as a minimum, comfort with APIs and integrations, and the ability to work across a modern web stack
- Hands-on AWS experience: you've deployed and operated production systems on AWS and can reason about security, networking, and cost in client environments
- Practical experience with LLMs and AI applications: retrieval, prompting, extraction, evaluation, and the judgment to know when an AI output is good enough to put in front of a client
- Excellent communication with technical and non-technical audiences: you can run a working session with scientists or investors, then explain the tradeoffs to engineers
- Comfort with ambiguity and ownership: you thrive when the problem isn't fully specified and the client is waiting on you to define it
More about this role
Prudentia Sciences is the scientific intelligence layer powering life sciences dealmaking. We bring together expert-developed scientific diligence frameworks, AI reasoning trained on drug development, and a unified evidence base to accelerate investment in breakthrough therapies. As a trusted third party operating between buyer and seller, we help build conviction through every stage of the deal, faster. We replace fragmented workflows with a single system that surfaces what matters earlier.
Backed by GV (Google Ventures), McKesson, Iaso Ventures, Virtue, and SignalFire — and built by people who have sat on every side of the table in life sciences dealmaking — we're on a mission to bring expert scientific judgment to every deal decision, at AI scale.
Our clients don't buy software in the abstract. A BD team at a top-20 pharma company, a biotech evaluating its pipeline, or an investment fund running diligence on a drug asset each arrives with its own data, its own workflows, its own security review, and its own definition of a good answer. Closing the gap between what our platform does out of the box and what that client needs this quarter is engineering work, and it's this...
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