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 biotech, we are poised to make a significant impact on how drugs are developed and brought to market.

About 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

• Hands-on experience and in-depth knowledge of  manual and automation testing
• At least 4 years of Automation (Python) experience in complex, multi-layered SW systems
• Programming experience - scripting and/or OOPA team player with excellent collaboration skills Ability to multi-task and work in a fast-paced environment.
• Experience with SaaS products CCNP/JNCIP certified
• Experience with traffic generators (Trex, breaking-point, Avalanche, Test center)BSc. degree in Computer Science - Advantage
• Work closely with multiple R&D teams across PhaseV
• Enable development teams to own testing and automation as an integral part of delivery
• Design scalable quality strategies, testing frameworks, and quality gates to ensure high standards without slowing down development
• Act as a technical authority as you guide teams on testability, observability, and risk-based testing, as well as non-functional quality aspects such as security, performance, and reliability.
• Partner with Engineering, Product, and DevOps to continuously improve how quality is designed, measured, and enforced across the product lifecycle.
  
  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
• Ability to take ownership using strong problem-solving and decision-making skills
  
  

Position Overview 

PhaseV is a technology company that redefines clinical development at scale with its enterprise-ready, multi-modal AI/ML platform. With over $65M raised from top investors, we are poised to make a significant impact on how drugs are developed and brought to market - ultimately helping effective treatments reach patients faster. 

We are seeking a talented and driven Applied AI Engineer to join our team. This is a unique opportunity to have a direct and real-world impact using AI by helping redefine how clinical trials are designed, optimized, and run. As an Applied AI Engineer, you will also join a high-caliber, multidisciplinary, cross-functional team spanning engineering, data science, and product. 

This role sits at the intersection of applied AI and product development, with a strong focus on building, deploying, and supporting production-grade AI systems that operate at scale. The ideal candidate will have a strong foundation in NLP and LLMs alongside proven experience building AI-powered services. 

Key Responsibilities 

Technical Development: 

• Build and maintain scalable, production-grade generative AI pipelines that integrate updating unstructured and structured data. 
• Research and develop robust agentic systems to solve complex clinical problems.
• Develop evaluation frameworks for AI systems in clinical contexts. 
• Optimize representation and retrieval strategies to support explainable outputs.
• Contribute to architectural decisions around AI services, APIs, and model orchestration frameworks. 

Research & Analysis: 

• Stay up-to-date with the latest developments in AI, machine learning, and related fields, exploring how emerging technologies can be applied to improve products and services.
•  Document and present methodologies and results for internal and external stakeholders. 

Collaboration: 

• Work cross-functionally with engineering, data science, and product teams. 
• Contribute to technical discussions and peer code reviews. 
• Support the preparation of technical documentation and research papers. 

Qualifications 

Education: 

• Master's in Computer Science, Data Science, Engineering or a related field 
• Ph.D. is an advantage but not required 

Experience: 

• Strong understanding of NLP, LLMs, entity recognition, and evaluation techniques.
• Experience designing and using embedding-based representations, including similarity search and retrieval workflows.
• Hands-on experience building agentic workflows in production environments.
• Proven experience working with unstructured data (e.g., free text, documents, notes) and applying techniques to transform it into structured formats. 
  
  

Skills: 

• Strong programming skills in Python. 
• Ability to clearly communicate complex technical concepts. 
• Experience with data visualization. 
• Strong analytical and problem-solving skills. 
• Ability to work in a dynamic, fast-paced environment. 

Preferred: 

• Experience in the healthcare or biotech industry. 
• Experience with clinical data. 
• Experience with large-scale data processing.