QA Engineer

Prudentia Sciences

San Francisco, CAFresher1h agovia LinkedIn

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

Sign in free to see which of these skills your resume already shows.

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

Entry-Level Jobs in SF Bay Area · last 7 days

60 openings · 59 need no experience

Most hiring: University of California, San Francisco, Solace, Verkada

See all 60 →

FirstHire never charges to apply, and real employers don't ask for money for tests, interviews or offer letters. How we list jobs · Report this job