Informacje o stanowisku

For our client we are looking for a highly skilled Machine Learning. The person in this role will be responsible for developing and optimizing ML models for analyzing data from breath sensor devices, working with time-series data, and applying signal processing techniques in clinical trials.

Your responsibilities:

• Develop and optimize machine learning models for binary and multi-class classification in clinical trials.
• Work with time-series sensor data from Breath analyzer sensor devices.
• Apply signal processing techniques to denoise and preprocess sensor traces.
• Optimize models for different metrics such as accuracy, sensitivity and specificity.
• Contribute to the automation of data ingestion and processing.
• Collaborate with data engineers, software developers, and clinical researchers to integrate machine learning models into clinical workflows.
• Document methodologies and results for regulatory and investor presentations

Our requirements:

• Academic degree in Machine Learning, Data Science, Electrical Engineering, Physics, or a related field.
• Strong Python skills, with experience in Scikit-Learn, TensorFlow, PyTorch, or equivalent ML frameworks.
• Expertise in signal processing and time-series analysis.
• Knowledge of feature engineering and statistical analysis.
• Strong understanding of model validation techniques

Optional:

• Experience with C# (for application support).
• Experience in medical device AI development.
• Familiarity with clinical trial data management and regulatory requirements.
• Background in biomedical signal processing or sensor fusion algorithms.

What We Offer:

• Remote work
• B2B Contract – flexible collaboration, straightforward settlements.
• Long-Term Cooperation – we offer long-lasting projects, and once they end, we strive to find new ones that suit your skill set.
• Fast and clear recruitment process -only one stage with the end client 

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