# Staff Software Engineer (Full Stack) at Prudentia Sciences

- Company: Prudentia Sciences
- What the company does: 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.
- Company website: https://www.prudentiasciences.com
- Type: Startups
- Level: Senior
- Location: Boston
- Work setup: Remote
- Pay: $230K to $275K base salary per year (USD)
- Posted: 2026-09-10
- Apply by: 2026-10-25
- Apply: https://jobs.ashbyhq.com/prudentia-sciences/e9550374-43a3-43ea-86b3-90e3e7c6dc10
- Page: https://www.1752.vc/careers/jobs/prudentia-sciences-staff-software-engineer-full-stack/

## About the role

We're seeking an exceptional Staff Software Engineer to build and lead our core platform as we scale. This is a rare opportunity to join a high-impact technology company in a major growth stage, where you'll act as tech lead for our core platform, ensuring our pharma and biopharma customers achieve transformative outcomes with our platform.

## What they're looking for

- Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Software Engineering, or a related technical field
- Full-Stack Engineering: Proven experience building modern web applications end-to-end — from intuitive, performant front-ends (React, Next.js, or similar) to robust, scalable back-ends (FastAPI, Node.js, or equivalent)
- Product & Platform Development: Hands-on experience designing and implementing complex, data-driven applications that integrate with APIs, asynchronous job systems, or machine learning backends
- Frontend Architecture & UX: Strong command of component-based design, state management, and visualization frameworks (e.g., React Query, Redux, D3, Plotly) to deliver interactive, insight-driven user experiences
- Backend & API Engineering: Expertise in developing RESTful or GraphQL APIs, integrating authentication/authorization, and managing event-driven workflows and background jobs
- Database & Data Flow: Comfort working with both relational and NoSQL databases (e.g., Postgres, MongoDB, DynamoDB), and designing efficient data access layers for large, dynamic datasets

Tags: Research & Development