Python Full Stack Developer - 6508 URA

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Python Full Stack Developer – 6508 URA

Our client is a pioneer in Drug Discovery and Development and one of the frontrunners in Personalised Healthcare. As the world`s largest R&D spender in the pharmaceutical and diagnostics domain, they work across numerous drug discovery & therapeutic areas and are highly recognized internationally.

At our client's early Development organization, they develop transformative medicines to address some of the world's most urgent healthcare needs. They are committed to transforming science into medicines.

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 ideal candidate has strong programming skills, particularly in Python, with experience in both front-end and back-end development. Fluency in English and knowledge of Containerization and cloud-native technologies are also required.

Main 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 implement new feature requirements.
• Troubleshoot and resolve bugs to maintain platform reliability and efficiency.
• Ensure the platform remains scalable and secure, with efficient data handling and API management.
• Document system updates, feature enhancements, and operational procedures for ongoing maintenance and future upgrades.

Qualifications and Experience:

• Relevant Swiss working/residency permit or Swiss/EU-Citizenship required
• Strong programming skills in Python, with experience in front-end (Streamlit) and back-end development (e.g., Flask)
• Proven experience with Large Language Models (LLMs)
• Experience in the pharmaceutical industry, especially within clinical development
• Experience with data engineering tasks, including ETL processes
• 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 technical and non-technical stakeholders.

Interested in learning more about CTC and this opportunity? Please contact us via the 'apply now' button, email, or phone.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Medical Equipment Manufacturing and Pharmaceutical Manufacturing

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