QA Engineer

Prudentia Sciences; Boston; Hybrid; PHP 6,897,000 - 8,777,000; Full time

Benefits offered by this job

Competitive salary

Equity option

Hybrid work

Job summary

Prudentia Sciences is seeking a detail-oriented QA Engineer to ensure quality, reliability, and accuracy of our AI-powered platform as we scale. You will partner with engineering, product, and ML teams to safeguard trust from pharma customers, validate ML-driven outputs, and improve test coverage in a fast-moving environment.

The role emphasizes test strategy, automation, manual testing, security awareness, and collaboration with domain experts to deliver high-quality user experiences in a

Qualifications

• Bachelor's degree in CS or related field or equivalent experience.
• Proven experience testing modern web apps including automation.
• Experience with API testing and test frameworks.

Responsibilities

• Design and own the test strategy for the web platform, covering functional, regression, integration, and end-to-end testing.
• Build and maintain automated test suites (UI, API, and data pipeline) to enable fast, confident releases.
• Conduct hands-on exploratory testing of complex, data-rich workflows to catch edge cases automation alone won't surface.
• Embed automated tests into CI/CD pipelines with clear quality gates before production.

Skills

Test automation

CI/CD pipelines

API testing

Playwright

Cypress

Education

Bachelor's degree in Computer Science or related field

Tools

Playwright

Cypress

pytest

REST-assured

PactFlow

Job description

About Prudentia Sciences

Prudentia Sciences is an AI-powered technology platform transforming how biopharma, biotech, and life sciences investors approach portfolio management, due diligence, and value/risk simulation. Our platform accelerates investment in breakthrough therapies by:

• Empowering biopharma to accelerate drug pipelines, maximize ROI, and achieve clinical and commercial success for greater patient impact

• Enabling strategic positioning of asset value during portfolio planning and dealmaking

• Equipping investors with data-driven insights to optimize capital allocation in drug asset transactions

Backed by GV (Google Ventures), McKesson, Signal Fire, Iaso Ventures, and Virtue, we're on a mission to unlock the full potential of pharmaceutical R&D by empowering decision-makers with real-time, data-driven insights.

The Opportunity

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.

What You'll Do

• Test Strategy & Planning: 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.

• Test Automation: Build and maintain automated test suites (UI, API, and data pipeline) to enable fast, confident releases as the platform and engineering team scale.

• Manual & Exploratory Testing: Conduct hands-on exploratory testing of complex, data-rich workflows to catch edge cases automation alone won't surface.

• Quality Gates in CI/CD: 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.

• Bug Tracking & Triage: Identify, document, and triage defects with clear reproduction steps; work with engineers to prioritize fixes and verify resolutions.

• Data & Output Validation: 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.

• Performance & Reliability Testing: 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.

• Security & Compliance Awareness: Help verify secure handling of sensitive scientific and deal data, and support testing practices aligned with best practices for healthcare and life sciences data.

• Collaboration & Process: Work cross-functionally with engineers, product leads, and domain experts to translate scientific and business requirements into clear, testable acceptance criteria.

• Continuous Improvement: 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.

Who You Are

Core Qualifications

• Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).

• QA Experience: Proven experience testing modern web applications, including both manual/exploratory testing and building automated test suites.

• Test Automation Tools: Hands-on experience with automated testing frameworks (e.g., Playwright, Cypress) and API testing tools (e.g., pytest, REST-assured, pactflow).

• CI/CD Integration: Experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions) and establishing quality gates.

• Technical Fluency: Comfort reading code and working directly with engineers to understand system architecture, APIs, and data flows well enough to design meaningful tests.

• Data-Driven Applications: Experience testing applications with complex, data-driven workflows.

• Bug Tracking & Documentation: Skilled at writing clear, reproducible bug reports and test plans; comfortable using issue trackers (e.g., Jira, Linear) to manage and communicate quality status.

• Security & Compliance Awareness: 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).

• Collaboration & Product Mindset: Strong communication and collaboration skills; ability to work closely with engineers, product managers, and scientific domain experts to deliver a high-quality user experience.

Soft Skills

• 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.

Bonus

• 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.

What We Offer

• Impact: Your work directly enables breakthrough therapies to reach patients faster

• Ownership: Build and lead the platform as a foundational engineering leader

• Growth: Shape our product experience during a critical scaling phase

• Compensation: Competitive salary and equity

• Team: Collaborative, mission-driven colleagues passionate about transforming biopharma

Location

This role is hybrid, requiring being onsite 2 days per week (Tuesday/Thursday) in one of our U.S. hubs: Boston, New York City, or San Francisco.