Roche Switzerland bridges the gap between pharmaceuticals and diagnostics. Important research and development functions are located here. For our long-term client, F. Hoffmann-La Roche AG in Basel, we are looking for a
Data Scientist
Background:
Roche is seeking a skilled and proactive Temporary R&D Data Scientist to join the innovative team and provide crucial support during a maternity leave. The ideal candidate will be responsible for maintaining and leveraging the 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 the team's success from day one.
Tasks & 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
Must Haves:
- 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
- Strong communication and interpersonal skills, with the ability to collaborate effectively with a technical team
- Familiarity with FAIR data principles
- Experience with Image analysis techniques
What you will be offered:
- An opportunity to work in one of the world's most important pharmaceutical companies
- Modern campus with plenty of green spaces and meeting areas
- Central location in Basel
- Varied job profile
- Further training opportunities through temptraining
- Working in a dynamic and motivated team
If you are interested please send your application documents addressed to Ms Diana Afonso.
Basel-Stadt Computer Science Data Engineering Analitics SQL Pharma ETL Pandas NumPy FAIR