Take Your Career to the Next Level with Amaris Consulting as a Python Developer! Join a global consulting firm with a €800M turnover, over 1,000 clients worldwide, and a dynamic, agile environment. Be part of an international team driving innovation in the pharmaceutical sector through cutting-edge technology. We are looking for a skilled Python Developer to support the integration of advanced scientific models into a scalable digital platform. The ideal candidate will have a proven track record in building scalable, high-quality applications, with strong expertise in backend development, containerization, and cloud technologies. ✍️ WHAT WOULD YOU NEED? ✍️ +4 years of experience as a Python Developer . Experience in the pharmaceutical or life sciences industry , particularly in digital transformation or data integration projects. Strong proficiency with Python, FastAPI/Flask, and RESTful APIs for backend development. Experience with one or more frontend frameworks (React.Js or Angular ). Solid knowledge of cloud platforms (AWS, Azure, or GCP) and version control tools such as Git . Familiarity with containerization technologies (Docker and Kubernetes) and CI/CD pipelines. Proven experience with microservices architecture and web services. Advanced proficiency in English (written and spoken) – mandatory. Strong problem-solving skills and ability to work both independently and as part of a distributed, cross-functional team. WHAT WILL YOU BE DOING? Integrate mechanistic and data-driven models on the platform by restructuring and migrating original code to align with SMART PD requirements, functionalities, and user interface . Collaborate closely with domain users (i.E., process experts, subject matter experts, and modelling specialists) to gather requirements and translate them into technical solutions. Develop and extend features of SMART PD to significantly improve user adoption, usability, and satisfaction. Write robust, maintainable, well-documented, and production-ready code following best practices. Execute UX research and feedback loops to understand how features impact and improve the experience of scientific and operational users.