QA Engineer, AI-Driven Biopharma Platform

Prudentia Sciences; New York (NY); Hybrid; USD 85,000 - 115,000; Full time

Benefits offered by this job

Impactful work

Equity

Growth opportunities

Collaborative team

Job summary

Prudentia Sciences is seeking a detail-oriented QA Engineer to ensure the quality, reliability, and accuracy of our AI-powered platform as we scale. This role partners with engineering, product, and ML teams to safeguard trust across deal pipelines and insights.

You will design test strategies, build automation (UI/API/data), and enforce quality gates within CI/CD, while performing manual testing to catch edge cases.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
• Proven experience testing modern web applications, including manual/exploratory testing and building automated test suites.
• Hands-on experience with automated testing frameworks (Playwright, Cypress) and API testing tools (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 with engineers to understand system architecture, APIs, and data flows to design meaningful tests.
• Experience testing data-driven applications with complex workflows.
• Skilled at writing clear, reproducible bug reports and test plans; familiarity with Jira/Linear.

Responsibilities

• Design and own the test strategy for our web platform, including functional, regression, integration, and end-to-end tests.
• Build and maintain automated test suites (UI, API, data pipeline) to enable fast, confident releases.
• Conduct hands-on exploratory testing of complex, data-rich workflows to catch edge cases automation misses.
• Embed automated testing into CI/CD pipelines and maintain quality gates before code reaches staging/production.
• Identify, document, and triage defects with clear reproduction steps; work with engineers to verify fixes.
• Validate ML-driven outputs for accuracy as they move from orchestration to user-facing views.
• Support load, performance, and reliability testing to meet availability targets.
• Assist in security/compliance testing aligned with healthcare and life sciences data.

Skills

Attention to detail

Analytical mindset

Strong communication

Autonomous

Ownership

Education

Bachelor's degree in CS/Software Eng or related field

Tools

Playwright

Cypress

pytest

REST-assured

pactflow

Job description

Prudentia Sciences is seeking a detail-oriented QA Engineer to ensure the quality, reliability, and accuracy of our AI-powered platform as we scale. This role partners with engineering, product, and ML teams to safeguard trust across deal pipelines and insights.

You will design test strategies, build automation (UI/API/data), and enforce quality gates within CI/CD, while performing manual testing to catch edge cases.