Benefits:

• Opportunity to co-create meaningful technology and products that improve people's lives

• Culture of ownership, openness and trust

• Working with professionals in a small dream team

• Private healthcare

• Work equipment and tools of your choice

Education Requirements:

• MSc / PhD in Computer Science, Mathematics, Biomedical Engineering or similar

Experience Requirements:

• 3+ years of experience with data analysis and neural networks

Other Requirements:

• Strong knowledge of SOTA machine learning trends, new architectures and signal processing methods

• Experience with biosignal analysis (ECG, EEG, PPG or similar)

• Proficiency in Python and scientific libraries (Scikit-learn, Scipy, Numpy, Pandas and MatplotLib)

• Experience with PyTorch/Tensorflow

• Interest in human physiology, medicine, and wellness

• Previous c++ experience

• Knowledge of Computer Vision domain

• Data mining experience

Responsibilities:

• Develop deep learning models for biosignal analysis

• Conduct research on deep learning architectures for biomedical signals

• Provide feedback to data collection teams regarding experimental setups and procedures

• Perform exploratory data analysis, create visualizations and share data-informed insights with the team

• Process, clean, and prepare biosignal data