Full Stack Developer (m/f/d)

Full Stack Developer (m/f/d)

For our client, a well-known pharmaceutical company in Basel, we are looking for a Python Full Stack Developer (m/f/d).

Background

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.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.

General Information

• Start date: asap
• latest Start Date: 01.07.2025
• Planned duration: 5 months
• Workplace: Basel
• Workload: 100%
• Remote/Home Office: max. 40

Tasks & Responsibilities

• 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

Must Haves

• Strong programming skills, particularly in Python, with experience in both front-end (Streamlit) and back-end development
• 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

Nice to Have

• German optional

Contact

Jan Schmitz-Elsen

Talent Acquisition Consultant

+41 61 500 01 74

We look forward to receiving your online application with your CV!