Full Stack Developer

Overview: We are seeking a Full Stack Web Developer to help build and enhance web applications that support data-driven workflows in a life sciences environment. This role focuses on developing user-facing applications and backend services that integrate data systems, APIs, and scientific tools. The ideal candidate thrives in a fast-paced, execution-focused environment and enjoys translating defined requirements into working software. You will work across the stack, building responsive front-end interfaces in React.js and supporting backend services and API integrations. Experience working with data-heavy applications or scientific platforms is highly desirable.

Responsibilities: Develop and enhance full stack web applications, including front-end interfaces and backend services. Build responsive user interfaces using React.js. Implement new features and improvements for existing internal applications. Integrate internal and external systems through RESTful APIs and service integrations. Translate defined requirements and technical specifications into reliable software components. Implement secure authentication, authorization, and data handling practices. Design and maintain data models and database interactions, including MySQL.Troubleshoot issues across the stack and deliver solutions efficiently. Collaborate with engineers, scientists, and data teams to support evolving research workflows. Maintain high standards for code quality, testing, and documentation.

Required Qualifications: Master’s degree in Computer Science, Bioinformatics, Software Engineering, or a related field. Experience building full stack web applications. Strong proficiency with React.js and modern JavaScript/TypeScript. Experience working with RESTful APIs and service integrations. Experience with MySQL or relational database design. Understanding of web application security principles (authentication, authorization, secure API usage).Ability to work effectively in a fast-paced development environment.

Preferred Qualifications: Experience with backend frameworks such as Node.js (Express) or Python (Flask).Experience in life sciences, genomics, bioinformatics, or research computing environments. Experience with data-heavy platforms or scientific software tools. Familiarity with cloud platforms such as AWS, Azure, or GCP.Experience integrating multiple systems or data pipelines.

What We Value: Engineers who move quickly and ship working solutions. Practical problem solvers who can connect systems and integrate software effectively. Strong collaborators who enjoy working with scientists, engineers, and data teams.