QA Engineer
Prudentia Sciences
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- Machine learningREST APIsETLCI/CDUnit testingGit
- Work
- Hybrid in San Francisco
- Pay
- $120K–$145K a year
- Skill demand
- REST APIs37%CI/CD35%Machine learning6%ETL5%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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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.
The Opportunity
We’re hiring our first dedicated QA Engineer: a hands-on engineer who writes code, builds quality into our platform from the ground up, and cares as much about performance and reliability as about correctness. 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.
What You'll Do
- Test Automation: Build and maintain automated test suites (UI, API, and data pipeline) to enable fast, confident releases.
- AI-Assisted Engineering: Use AI coding tools daily to build and maintain tests, understanding why the code works.
- Quality Gates in CI/CD: Partner with engineering to embed automated testing into CI/CD pipelines, establishing clear quality gates. Eliminate flaky or long-running tests from CI gates.
- Bug Tracking & Triage: Identify, document, and triage defects with clear reproduction steps; prioritize fixes and verify resolutions.
- Data & Output Validation: Validate the accuracy and consistency of ML-driven outputs 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 availability and responsiveness expectations.
- 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 to translate requirements into clear, testable acceptance criteria.
- Continuous Improvement: Champion a quality-first culture; advocate for testability in design reviews, improve test coverage, and stay current on modern QA tooling and practices.
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 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.
- 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).
- Security & Compliance Awareness: Familiarity with best practices for secure data handling and testing in regulated or sensitive-data environments.
- Collaboration & Product Mindset: Strong communication and collaboration skills; ability to work closely with engineers, product managers, and scientific domain experts.
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.
- Autonomous, self-starter attitude with a strong sense of ownership.
- Excellent communication skills.
- Collaborative team player.
Bonus
- Experience in healthcare, life sciences, or biopharma sectors.
- Willingness to dive into the field and curiosity to learn about life sciences and the drug development process.
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.
Location
Hybrid role, requiring onsite presence 2 days per week (Tuesday/Thursday) in one of our U.S. hubs: Boston, New York City, or San Francisco.
Compensation Range: $120K - $145K