Data Scientist for CGM Algorithm Development (m/f/d)

As a first-tier supplier to our renowned business partner F. Hoffmann-La Roche Ltd. in Basel, we are currently looking for a motivated and dedicated Data Scientist for CGM Algorithm Development for a temporary assignment of 12 months.

The Data Scientist will drive the feasibility evaluation, prototyping, design, and validation of novel algorithms for Continuous Glucose Monitoring (CGM) systems. This role is instrumental in translating complex physiological sensor data into accurate, clinically relevant insights, including integrating and interpreting diverse sensor and log data related to meal, insulin injections and physical exercise. This role requires a strong blend of statistical rigor, machine learning expertise, and creative problem-solving to quickly evaluate and prove the technical viability of promising clinical concepts.

Tasks & Responsibilities

• Algorithm Design & Prototyping: Design, develop, and validate predictive and analytical algorithms for CGM data. Develop robust code using advanced ML and statistical techniques to prove technical feasibility
• 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

Must-Haves

• 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 Haves

• 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

Benefits

• Work with modern and up-to-date tools in an innovative work environment
• Experience a work culture that promotes diversity and inclusion and where all employees feel valued
• Benefit from financial support for your professional development plans
• Take advantage of unbeatable, year-round discounts at renowned retailers and over 200 top brands
• Benefit from fleet discounts when purchasing new cars or receive constant fuel discounts with our fuel card
• Become part of one of the most prestigious pharmaceutical companies and actively shape the future of healthcare
• Work on a state-of-the-art campus featuring green spaces, meeting areas, and an inspiring atmosphere
• Take advantage of attractive fitness and swimming pool facilities or the gaming room as a creative retreat
• Enjoy a selection of high-quality meals in modern staff restaurants
• As part of a sustainable mobility concept, on-site parking spaces are available to you, provided you meet the relevant qualifications
• Start with a professional onboarding process and a thorough introduction to your new role during the Welcome Days

Are you interested? Don't hesitate and submit your complete application documents online today. We look forward to hearing from you!

Wir wertschätzen Vielfalt und begrüssen daher alle Bewerbungen - unabhängig von Geschlecht, sozialer Herkunft, Religion, Alter und Identität. Zur leichteren Lesbarkeit und besseren Verständlichkeit verwenden wir nur eine Gender-Form. Selbstverständlich sind im jeweiligen Kontext alle Genderformen gleichermassen gemeint.

Kontakt
Adnan Ferizi

Arbeitsort
Basel

Pensum
100%

Position
Mitarbeiter

Branche
Elektro + Mechanik