Data Scientist

CTC is a specialized search and recruitment partner for the Life Sciences industry, serving clients and candidates since 1997. We enable careers by connecting talented professionals with meaningful opportunities, and we support our clients in engaging, retaining, and developing the right talent when needed.

Our client is a global leader in drug discovery, diagnostics, and personalized healthcare. Renowned for their innovation in precision medicine, they are at the forefront of developing medical value diagnostic solutions aimed at improving patient care and outcomes.

We are seeking seeking a skilled and proactive temporary R&D Data Scientist (maternity leave replacement)to join our innovative team in Basel and provide crucial support. The contract duration is 12 months.

The ideal candidate will be responsible for maintaining and leveraging our unique data integration platform, supporting ongoing AI model development, and ensuring the seamless continuation of our R&D data workflows. This is a hands-on role for a data scientist who can quickly get up to speed on complex projects and contribute to our team's success from day one.

Main responsibilities:

• Maintain Data Integration Tools: Manage and troubleshoot our existing data integration pipelines that feed our AI models, ensuring data quality and availability.
• Support AI Development: Collaborate with the R&D team to support the ongoing training, validation, and optimization of machine learning and AI models.
• Data Analysis & Reporting: Perform data analysis to extract insights, support research questions, and provide clear reports to the team.
• Troubleshoot & Problem-Solve: Address technical challenges related to data access, software limitations, and model performance.
• Ensure Project Continuity: Work closely with the existing team to ensure all project timelines and deliverables are met during the contract period.
• Documentation: Maintain clear and concise documentation of processes and any modifications made to existing systems.

Qualifications and Experience:

• Relevant working/residency permit or Swiss/EU-Citizenship required.
• Bachelor's or Master's degree in Computer Science,Data Science, Engineering, or a related quantitative field.
• 3-5+ years of hands-on experience in a data science or data analytics role.
• Strong proficiency in Python and its scientific computing libraries (Pandas, NumPy, Scikit-learn).
• Experience with SQL and working with relational databases.
• Familiarity with the principles of ETL and experience with data pipeline management.
• A foundational understanding of machine learning concepts and models.
• Excellent problem-solving skills and the ability to work independently.
• Fluency in English and strong communication and interpersonal skills, with the ability to collaborate effectively with a technical team.
• Familiarity with FAIR data principles and experience with Image analysis techniques.