Software Engineer, Data Sciences

Role: Develops and maintains full stack applications supporting biopharma scientific workflows, with a focus on scalability, reliability, and maintainability. Responsibilities: design and build backend APIs and user interfaces, contribute to architecture decisions, ensure code quality through reviews, and implement scalable microservices architecture. Requirements: Bachelor's or Master's degree with 6-8 years of experience; proficiency in Python (Flask, FastAPI), React or modern frontend frameworks, relational databases, version control, CI/CD, and testing. Preferred: experience with microfrontend architecture, legacy system modernization, distributed teams, and scientific data environments. HighValue: software engineering for data-driven or scientific applications within a biotech context, emphasizing long-term system stability and collaboration with distributed teams.