Hybrid QA Engineer for AI Biopharma Platform

Prudentia Sciences; Cambridge (MA); Hybrid; USD 85,000 - 115,000; Full time

Benefits offered by this job

Competitive salary and equity

Hybrid onsite 2 days/week (Boston/NYC/

Job summary

Prudentia Sciences is seeking a detail-oriented QA Engineer to safeguard the quality of our AI-powered platform for life sciences investors. You will work with engineering, product, and ML teams to design robust test strategies, implement automated suites, and ensure reliable data-driven outputs for deal pipelines and risk analyses.

You will own end-to-end testing across UI, API, and data pipelines, participate in CI/CD quality gates, and help maintain high standards for secure, compliant data

Qualifications

• Bachelor's degree or equivalent practical experience.
• Experience testing modern web apps (manual + automated).
• Hands-on with Playwright, Cypress, pytest, REST-assured or pactflow.
• CI/CD integration experience (GitHub Actions).
• Comfort reading code and collaborating with engineers.
• Experience testing data-driven applications.
• Proficient bug reporting and test planning in Jira/Linear.

Responsibilities

• Design and own test strategy for web platform across functional, regression, integration, and end-to-end testing.
• Build and maintain automated test suites (UI, API, data pipeline).
• Perform manual and exploratory testing of complex workflows.
• Integrate automated tests into CI/CD pipelines and establish quality gates.
• Document, triage, and verify defects with clear reproduction steps.

Skills

QA Engineer

Playwright

Cypress

pytest

REST-assured

PactFlow

GitHub Actions

Data-driven testing

Education

Bachelor's degree in CS or related field

Tools

UI automation

API testing

Job description

Prudentia Sciences is seeking a detail-oriented QA Engineer to safeguard the quality of our AI-powered platform for life sciences investors. You will work with engineering, product, and ML teams to design robust test strategies, implement automated suites, and ensure reliable data-driven outputs for deal pipelines and risk analyses.

You will own end-to-end testing across UI, API, and data pipelines, participate in CI/CD quality gates, and help maintain high standards for secure, compliant data