About Us

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.

The Role

We are looking for a hands-on, experienced QA Engineer to join our team and take ownership of the company’s engineering testing. This is a critical role for someone who thrives in a fast-paced startup environment and is eager to help scale our Engineering infrastructure while ensuring our product excellence.

As a System QA, you will be responsible for E2E testing features of our fast-evolving product, by building a complex environment and simulating customers' requirements. You will be the only gatekeeper for various new features and enhancements before they are deployed .

Responsibilities

Requirements

• At least 4 years of experience in quality testing complex systems
• Practical hands-on knowledge of cloud technologies (AWS), Kubernetes, Docker
• Hands-on experience with automation frameworks such as Playwright with Python
• Experience with leveraging Generative AI tools to accelerate quality-related tasks: test case creation, bug reporting, scripting/tooling, and more – an advantage
• Ability to guide development teams, provide clear and constructive quality feedback, and challenge design or implementation decisions