Sibel Health is looking to develop cutting-edge digital biomarker technologies in conjunction with novel wearable devices for use within pharmaceutical trials to improve the lives of vulnerable patients, including pregnant persons and babies.
Requirements
- 7+ years of experience building algorithms with biosignals (Accelerometer, ECG/EMG, Photoplethysmography).
- Expertise in signal analysis, machine learning, and deep learning for biomedical signals.
- Expertise in python and writing production quality code.
- Familiarity with low level languages (C, rust) and low resource computing is a plus.
- Experience with acoustic signals is a plus.
- Experience with wearable sensors is a plus.
Responsibilities
- Be the technical owner of algorithm development and improvement for Sibel's Digital Health Technologies.
- Build signal processing, machine learning, and deep learning models for novel digital biomarkers across a range of disease states, including Parkinson's disease, Atopic Dermatitis, Inflammatory Bowel Disease, and many others.
- Build and maintain the data processing codebase to transform raw biosignal data into digital biosignals for customers.
- Maintain data quality monitoring dashboards for Sibel customers and academic studies.
- Work cross functionally with product managers, software engineers, and commercial teams to impact Sibel's digital health product roadmap.
Other
- Must be available to work onsite four days per week.
- 7+ years of experience
- Medical, dental, vision, life, and disability insurance.
- Take as much time as you need policy.
- Simple IRA plan with employer matching.
