About the position
Catalytic Data Science is a fast-growing SaaS company building cutting-edge, AI-driven solutions for regulatory affairs professionals shaping innovation in life sciences. Our engineering team leverages generative AI to extract insights from complex, unstructured data at scale. We believe in clean code, collaborative problem-solving, and a culture where engineers have a direct impact on meaningful products used by global life sciences organizations. Our customers are passionate about making the world a better place, and we are inspired by the opportunity to help them. If you are passionate about solving technical challenges that improve medical innovation and regulatory processes, you’ll find your next home with us.
Responsibilities
- Design and implement user interfaces for web-based applications targeting regulatory affairs professionals.
- Collaborate closely with engineers and data scientists to translate complex AI outputs into clear, intuitive workflows.
- Conduct user research, usability testing, and iterate on designs based on feedback.
- Create wireframes, mockups, and user flows.
- Ensure UI consistency, accessibility, and responsiveness across devices.
Requirements
- BS in computer science or related engineering, science, or math discipline.
- 2+ years professional experience in UI/UX for SaaS or data-intensive applications.
- Strong portfolio demonstrating UX thinking and UI execution (React, Vue, or similar).
- Experience working in cross-functional agile teams.
- Familiarity with design systems and Figma/Sketch/Adobe XD.
- Experience leveraging AI-powered coding assistants (e.g., GitHub Copilot, Copilot X, ChatGPT Code Interpreter, Amazon CodeWhisperer) to enhance productivity in day-to-day software development activities, including code generation, refactoring, and documentation.
- Familiarity with best practices for integrating AI coding assistants into team workflows while maintaining code quality, security, and regulatory compliance.
- Excellent communication skills.
