Data Scientist/ ML Engineer

For our Client from pharma industry we are looking for 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.

100% remote work

Tasks

• Algorithm Design and 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 and Ideation: Understand patient needs and creatively model potential algorithmic approaches using real-world sensor data.

• Data Pipeline and 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 and 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 and Reporting: Synthesize complex technical results and present clear feasibility findings to diverse stakeholders.

Expectations

• 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.

• Additional Desirable Qualifications: 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.

• English C1

We offer

• Ongoing support from a dedicated agent, taking care of your project continuity, client contact, necessary formalities, work comfort and development, 

• Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors,

• Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle

• Spectacular integration events, both for you (e.g., annual Kick-Off trip, Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres), 

• Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients, 

• Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years, 

• A complete benefits package, including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad. 

About 7N

Constantly searching for projects, difficult rate negotiations, lack of development support – sounds familiar? At 7N, you gain not only stability of contracts but also the personal involvement of a dedicated agent who ensures your professional comfort and continuous access to development initiatives. 

Our mission is to provide stable and rewarding collaborations that drive your success as an IT expert and the success of our clients. We build long-lasting relationships based on Scandinavian values and 30 years of experience creating IT solutions for over 200 organizations.