QA Engineer

Prudentia Sciences•Cambridge, MA

1d•$85,000 - $115,000•Hybrid

About The Position

We're seeking a detail-oriented QA Engineer to help ensure the quality, reliability, and accuracy of our platform as we scale. This is a rare opportunity to join a high-impact technology company in a major growth stage, where you'll partner closely with engineering, product, and ML teams to safeguard the trust our pharma and biopharma customers place in our platform. Our platform is quickly seeing exceptional demand in its sector, and is backed by top-tier life science investors who have an informed perspective on where AI can have a profound impact in the industry.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
Proven experience testing modern web applications, including both manual/exploratory testing and building automated test suites.
Hands-on experience with automated testing frameworks (e.g., Playwright, Cypress) and API testing tools (e.g., pytest, REST-assured, pactflow).
Experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions) and establishing quality gates.
Comfort reading code and working directly with engineers to understand system architecture, APIs, and data flows well enough to design meaningful tests.
Experience testing applications with complex, data-driven workflows.
Skilled at writing clear, reproducible bug reports and test plans; comfortable using issue trackers (e.g., Jira, Linear) to manage and communicate quality status.
Familiarity with best practices for secure data handling and testing in regulated or sensitive-data environments (especially valuable in healthcare, life sciences, or enterprise environments).
Strong communication and collaboration skills; ability to work closely with engineers, product managers, and scientific domain experts to deliver a high-quality user experience.
Strong problem-solving skills and an analytical mindset.
Meticulous attention to detail and a genuine passion for quality.
Passion for continuous learning and improving testing practices as the platform evolves.
Autonomous, self-starter attitude with a strong sense of ownership.
Excellent communication skills. Able to explain technical issues clearly to non-technical audiences.
Collaborative team player with a desire to build things that truly matter.

Nice To Haves

Experience in healthcare, life sciences, or biopharma sectors is nice, but not required. More important is a willingness to dive into the field and a curiosity to learn about life sciences and the drug development process, and how deal making revolves around it.

Responsibilities

Design and own the test strategy for our web platform, covering functional, regression, integration, and end-to-end testing across deal pipelines, document ingestion, and LLM-driven insight delivery.
Build and maintain automated test suites (UI, API, and data pipeline) to enable fast, confident releases as the platform and engineering team scale.
Conduct hands-on exploratory testing of complex, data-rich workflows to catch edge cases automation alone won't surface.
Partner with engineering to embed automated testing into CI/CD pipelines, establishing clear quality gates before code reaches staging and production. You should be ruthless at eliminating flaky or long-running tests from CI gates too.
Identify, document, and triage defects with clear reproduction steps; work with engineers to prioritize fixes and verify resolutions.
Validate the accuracy and consistency of ML-driven outputs (risk analyses, valuations, scientific assessments) as they move from the orchestration layer into user-facing views.
Support load, performance, and reliability testing to ensure the platform meets the availability and responsiveness expectations of deal teams working with sensitive, time-sensitive data.
Help verify secure handling of sensitive scientific and deal data, and support testing practices aligned with best practices for healthcare and life sciences data.
Work cross-functionally with engineers, product leads, and domain experts to translate scientific and business requirements into clear, testable acceptance criteria.
Champion a quality-first culture> Advocating for testability in design reviews, improving test coverage over time, and staying current on modern QA tooling and practices.