Receptor.AI

We are looking for a QA Engineer to join our team working on an AI-powered drug discovery SaaS platform. The platform combines molecular screening, ADMET analysis, peptide optimization, and Datagrok integration. You will work closely with developers, product owner, and biologists to ensure quality across all platform features.

This is not an execution role — it is a leadership role. You will be the first dedicated QA Lead at Receptor.AI, responsible for building QA processes from the ground up, defining testing strategy, and setting quality standards across the platform. We expect you to take full ownership of quality and drive it forward independently.

Must have

• 3+ years of QA experience in a software product company, with at least 1 year in a lead or senior role
• Strong experience with manual testing — functional, regression, smoke, exploratory
• Proven experience building or significantly improving QA processes from scratch
• Hands-on experience with test automation — Python, Playwright, Pytest
• Experience with API testing — Postman, Swagger
• Basic understanding of REST API and HTTP
• Ability to work autonomously and make decisions without constant guidance
• Expeiliarity with Jira or similar issue trackers
• Upper-Intermediate English (written)

Tech Stack

• Test automation: Python, Playwright, Pytest, Pydantic
• API testing: Requests / HTTPX, Postman, Swagger
• CI/CD & Reporting: GitLab CI, Allure Reports
• Basic SQL knowledge
• Experience with Page Object Model architecture
• Test Management: QASE, Jira

Domain knowledge (our differentiator)

• Basic understanding of molecular biology — proteins, DNA/RNA, small molecules
• Understanding of protein structure from primary to quaternary (critical for understanding docking and screening results)
• Familiarity with the drug development process — from target identification to clinical trials
• Familiarity with concepts: protein, molecule, SMILES, docking, ADMET — or willingness to learn quickly
• Ability to distinguish between a UI bug and a scientific/business logic issue
• Experience in biotech, pharma, or life sciences software is a strong plus

Soft skills

• Attention to detail
• Proactive communication — if something is unclear, asks immediately
• Comfortable working with scientists and engineers in the same team
• Ability to work independently and manage own workload

Will be a plus

• Experience testing data-heavy or scientific platforms
• Experience with Datagrok or similar analytical tools
• Familiarity with drug discovery workflows