Data Scientist for CGM Algorithm Development
Vollzeit @Albedis veröffentlicht 5 Tagen agoJob-Beschreibung
EINFÜHRUNG:
We offer an exceptional opportunity for a professional seeking a challenging and impactful role in a fast-growing healthcare technology company. Our client is at the forefront of medical device innovation, focusing on Continuous Glucose Monitoring (CGM) systems that transform patient care through advanced data analytics.
We are now recruiting a Data Scientist for CGM Algorithm Development to join the Digital Biomarker Data Insights (DIDMI) team at our Basel headquarters. This full-time, on-site position offers a compelling opportunity for an experienced data scientist to lead the design, prototyping, and validation of innovative algorithms that turn complex sensor data into clinically actionable insights.
AUFGABENBESCHREIBUNG:
• Design, develop, and validate predictive and analytical algorithms for CGM data using advanced machine learning and statistical techniques
• Process and manage heterogeneous time-series data from medical devices, applying rigorous data cleaning, feature engineering, and transformation
• Build and optimize machine learning models (e.g., XGBoost, Neural Networks) and deliver high-quality, reproducible Python code for experimentation and analysis
• Collaborate within an Agile, multidisciplinary team, mentoring junior colleagues and translating project goals into actionable data science tasks
• Communicate complex technical results clearly to stakeholders, providing feasibility assessments and actionable recommendations ERFORDERLICHES PROFIL:
• Minimum 5+ years of hands-on experience as a Data Scientist or Machine Learning Engineer
• Advanced academic background (Master or PhD) in Data Science, Machine Learning, Statistics, or related fields
• Strong statistical foundation, with solid knowledge of experimental design and model validation techniques
• Expertise in Python and the core data science ecosystem: Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, XGBoost/LightGBM
• Practical experience working with time-series data from physical sensors or monitoring devices
If you are ready to drive innovation in CGM algorithm development and work in a dynamic, cutting-edge environment, we look forward to receiving your application.
