Data Scientist

vor 6 Monaten

Basel, Schweiz Work Selection Vollzeit

**Beschreibung**:
For our international medical partner, F. Hoffmann-La Roche Ltd. in Basel, we are looking for a qualified and motivated **Data Scientist** for a temporary contract of 12 months with a possible extension.

**Tasks**:

- Develop predictive algorithms using real world clinical data (electronic medical records) to address clinical needs
- Work within an intercontinental algorithm development team to distribute and complete tasks including algorithm ideation and inception, data processing, data exploration and model development in a validated cloud computing environment
- Present weekly updates to the algorithm development team and monthly updates to clinical development collaborators
- Build efficient and scalable algorithm pipeline that integrate seamlessly with existing software infrastructure
- Implement data ingestion, transformation, and integration steps to ensure data quality and consistency
- Create modular and reusable code components to accelerate algorithm development
- Implement rigorous testing procedures to validate the accuracy and reliability of algorithm outputs
- Conduct thorough debugging and troubleshooting to identify and resolve issues within the algorithm pipeline
- Document code, algorithms and pipeline architectures comprehensively to facilitate knowledge sharing
- Collaborate with colleagues from other functions (e.g. clinical development, evidence generation, real world data, product development) to identify areas of unmet medical need

**Must Haves**:

- Min. 3 years experience in Data Science in a research environment, preferably in the healthcare or pharmaceutical sector
- In-depth knowledge of machine learning algorithms, statistical methods and data processing techniques, in particular in the domain of real-world healthcare data
- Strong proficiency in programming languages such as Python, R
- Strong Communication skills in English for presentations and discussions with specialists and non
- specialists, collaboration and teamwork, ability to see a research project through from inception to completion
- Hands-on experience with data preprocessing, feature extraction, and model training using state of the art libraries (e.g., scikit-learn)
- Experience with version control systems (e.g., Git) and continuous integration tools
- Proficiency in building scalable software systems and designing modular architectures
- Strong problem-solving skills and ability to analyze complex datasets
- Google suite, Jira, Trello

**Nice to Haves**:

- Familiarity with containerization and orchestration tools
- Previous work on algorithm pipelines in a production-ready environment
- Previously contributed to open-source projects related to data science and software engineering

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