The Web UI Engineer will join the data science Team. This role will focus on building scalable, high-performance user interfaces for data-driven and AI/ML-powered applications. The candidate will collaborate closely with data scientists and data engineers to deliver intuitive, production-grade web applications that enable users to interact with complex analytics and insights. This is a hands‑on technical role requiring strong front‑end engineering expertise, an understanding of modern web frameworks, and the ability to work in a fast‑paced, highly collaborative environment.
Job Responsibilities
- Design and develop scalable, responsive web applications using React or Angular
- Build reusable UI components and translate designs into intuitive user experiences
- Integrate front‑end applications with APIs, backend services, and data pipelines
- Collaborate with data scientists and data engineers to enable interaction with AI/ML models
- Deploy, monitor, and scale applications in AWS or Google Cloud
- Optimize performance, reliability, and cross‑browser compatibility
- Stay up to date with emerging front‑end technologies and industry trends
Education Requirements
- Bachelor's degree in computer science, software engineering, or a related technical discipline
Job Requirements
- 2-5 years of experience in front‑end or full‑stack development
- Strong experience with React or Angular and JavaScript/TypeScript
- Experience building and deploying production‑grade applications
- Familiarity with REST APIs and cloud platforms (AWS or GCP)
- Understanding of data pipelines, data ingestion, or data architecture
- Basic knowledge of Python or experience working with data‑focused teams
- Passion for problem solving with a self‑driven, innovative mindset
- Strong communication skills with the ability to translate technical concepts to non‑technical stakeholders
React Track
- Experience with React, state management (Redux, Context API), and modern tooling
Angular Track
- Experience with Angular, TypeScript, RxJS, and scalable application architecture
Preferred Qualifications
- Experience working with healthcare, clinical, or pharmaceutical data
- Familiarity with data visualization libraries (e.g., D3.js, Chart.js)
- Exposure to CI/CD pipelines and containerization (e.g., Docker, Kubernetes)