Data Scientist for CGM Algorithm Development

• Feasibility & Ideation: Understand patient needs and creatively model potential algorithmic approaches using real-world sensor data.
• Data Pipeline & Feature Engineering: Apply expertise in processing and managing heterogeneous time series data originating from medical devices. Execute rigorous data cleaning, imputation, transformation, and sophisticated feature engineering.
• Technical Execution & Modeling: Build and optimize machine learning models (e.g., XGBoost, Neural Networks, etc.). Write high-quality, efficient, and reproducible Python code for data analysis, modeling, and experimentation.
• Collaboration: Provide technical guidance within an Agile team framework to junior data science colleagues. Work effectively within a multidisciplinary, distributed team to translate project goals into actionable data science tasks.
• Communication & Reporting: Synthesize complex technical results and present clear feasibility findings to diverse stakeholders.

The perfect candidate has minimum of 5+ years of hands-on experience as a Data Scientist or Machine Learning Engineer and speaks fluent English. Additionally we are looking for someone who has experience or robust academic background (Master or PhD is highly desirable) in Data Science, Machine Learning or Statistics., * Minimum of 5+ years of hands-on experience as a Data Scientist or Machine Learning Engineer.

• Demonstrated experience or robust academic background (Master or PhD is highly desirable) in Data Science, Machine Learning, Statistics, or a related quantitative field.
• Strong Statistical Foundation: Solid grasp of statistical principles, experimental design, and model validation techniques.
• Advanced Python Proficiency: Strong proficiency in Python and its core data science ecosystem: Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and XGBoost/LightGBM.
• Time Series Data: Practical experience with the processing, analysis, and modeling of time series data from physical sensors or monitoring devices.

Nice to Have:

• Medical Domain Knowledge: Prior experience working with medical data, specifically in diabetes management (CGM/BGM), exercise physiology, or clinical nutrition data.
• Regulated Environment: Familiarity with the requirements and processes for software development in a regulated medical device environment.
• Big Data Tools: Experience with distributed computing frameworks like PySpark for handling very large datasets.

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 Mr Severin Räfle.

Basel-Stadt Fulltime Associate in vivo gene therapy Disorders Scientific Associate Labor Laboratory

Contact

Severin Räfle Elan Personal AG