Full Stack Developer

The new hire will join an experienced and international Data & Analytics Teams which pushes boundaries of drug discovery and development, enabling the department to achieve its goals.

This division makes transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs with the aim to transform science into medicines. The department consists of talented people who are empowered and inspired to bring forward extraordinary life-changing innovation at speed.

The Python Full Stack Developer will be responsible for maintaining and enhancing a platform currently in its early MVP stage, designed for document creation using Large Language Models (LLMs). This role requires proficiency in both Python front-end and back-end development, with a focus on expanding the platform's capabilities and use cases.

Your responsibilities would include the following:

• Develop and maintain both the Python front-end (Streamlit) and back-end of the application, ensuring seamless integration and functionality enhancements.
• Enhance the platform from its current early MVP state, integrating new use cases and expanding its capabilities.
• Collaborate with stakeholders to identify and integrate new feature requirements.
• Troubleshoot and resolve bugs to maintain the platform's reliability and efficiency.
• Ensure the platform remains scalable and secure, with an emphasis on efficient data handling and API management.
• Document system updates, feature enhancements, and operational procedures for ongoing maintenance and future upgrades.

In order to be considered for this role, you will possess the following skills and experience:

• Strong programming skills, particularly in Python, with experience in both front-end (Streamlit) and back-end development (Flask, …)
• Proven experience and understanding of Large Language Models (LLMs)
• Experience in the pharmaceutical industry, especially within clinical development
• Experience with data engineering tasks, including data extraction, transformation, and loading (ETL).
• Knowledge of vector database technologies (e.g., FAISS, Milvus, Elasticsearch) and database indexing
• Knowledge of Containerization and cloud native technologies (Docker, Kubernetes, ArgoCD, …)
• Ability to work independently, manage multiple priorities, and communicate effectively with both technical and non-technical stakeholders.
• English fluent Must, German optional

Please note interviews would be conducted via video call, however the role is based 100% in Switzerland. Our client offers:

• Home office 40%
• The opportunity to work in a diverse and international environment on a long-term basis
• Modern location in Basel

Please note that our client will give preference to locally based candidates in Switzerland.

Are you interested to work in an international environment in one of the most recognised medical devices brands worldwide?

Then apply before the deadline on Tuesday 20 May (including university diploma and written references if possible)! We look forward to receiving your full application.