What are the responsibilities and job description for the QA Software Tester position at Collate?
About Collate
Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market.
Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.
We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale.
About The Role
We’re looking for an experienced QA Tester who’s passionate about ensuring product quality in fast-moving environments where AI meets science. You’ll work closely with our engineering, product, and science teams to design and execute test plans for new features, data pipelines, and AI-driven workflows.
This role requires hands-on testing expertise and a strong understanding of how to validate systems that rely on large language models (LLMs) and life science data.
What You’ll Do
Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes.
Ownership: Shape both our product experience and our engineering culture from the start.
Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders.
Upside: Join a company early enough to have meaningful equity and career-defining impact.
The base salary range for this role is competitive, depending on experience and level (Tier 1, San Francisco)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market.
Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.
We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale.
About The Role
We’re looking for an experienced QA Tester who’s passionate about ensuring product quality in fast-moving environments where AI meets science. You’ll work closely with our engineering, product, and science teams to design and execute test plans for new features, data pipelines, and AI-driven workflows.
This role requires hands-on testing expertise and a strong understanding of how to validate systems that rely on large language models (LLMs) and life science data.
What You’ll Do
- Develop and execute manual test plans, test cases, and regression suites across Collate’s web and AI-based workflows
- Collaborate with engineers and product managers to identify bugs early and ensure high-quality product releases
- Test AI-driven outputs — evaluating model accuracy, edge cases, and failure points
- Validate integrations between data systems, APIs, and AI components
- Maintain documentation of testing results and participate in QA process improvements
- (Nice to have) Design and run automated tests using frameworks like Cypress, Playwright, or similar
- Partner with the science team to understand and validate workflows related to experimental data and life sciences
- Cross collaborate with Product, UX, Operations, Software teams
- 5 years of experience in software QA (manual testing required; automation a plus)
- Experience testing AI- or ML-driven systems (familiarity with model evaluation, hallucination, or prompt consistency)
- Background or exposure to life sciences, biotech, or healthcare applications
- Strong understanding of software QA methodologies, tools, and processes
- Experience working in startup or fast-paced product environments
- Excellent analytical, communication, and documentation skills
Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes.
Ownership: Shape both our product experience and our engineering culture from the start.
Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders.
Upside: Join a company early enough to have meaningful equity and career-defining impact.
The base salary range for this role is competitive, depending on experience and level (Tier 1, San Francisco)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
