Computational Physiology Engineer (Data Science, Biosignals)

At Shen.AI we deliver digital, smartphone-accessible health & wellness diagnostic tools that run locally on your mobile device. Based on a 30-second video scan of the human face, we extract over 25 health markers, such as Heart Rate, HRV, Blood Pressure, Stress Level and more. See the demo at https://demo.shen.ai/. The Shen.AI platform combines state-of-the-art computer vision and advanced vital signs processing with the power of AI for health and wellness monitoring. It provides real or near real-time display of health metrics, biofeedback, and preliminary diagnosis with recommended follow-up steps.

Accountabilities:

• 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.

• Generate synthetic dataMonitor data quality and automate invalid data labeling.

• Identify and fix issues in data processing pipelines.

Requirements:

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

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

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

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

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

• Experience with PyTorch/Tensorflow.

• Interest in human physiology, medicine, and wellness.

Nice to have:

• Previous c++ experience

• knowledge of Computer Vision domain

• Data mining experience

What We Offer:

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

• Culture of ownership, openness and trust, working in a small dream team.

• The most effective and proven cooperation methodologies and tools.

• Freedom and flexibility working remotely or on-site in Wrocław, Poland, or in Tallinn, Estonia.

• Private healthcare.

• Work equipment and tools of your choice.