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Digital Biomarker Biomedical Engineer

Coopers Group GmbH

Posted on Jul 5, 2021 by Coopers Group GmbH

Basel, Switzerland
Health Care
1 Aug 2021
Annual Salary

Digital tools, such as smartphones or wearables, can now continually measure and collect vital health information - or Digital Biomarkers . Digital Biomarkers are changing how future medicines will be developed and could lead to more personalized use of new medications that will transform the lives of patients. Advances in wearable devices, such as phones, watches, textiles or delivery devices, which track a patient's vital signs and monitor for symptoms, all have the potential to vastly accelerate clinical development.

Ihre Aufgaben:

Work on large amounts of sensor data from smartphones, wearables and other devices (eg predominantly IMU, touch screen) collected during the daily life of participants in clinical studies
Develop robust algorithms to infer a variety of disease symptoms in neurological diseases
Establish reliability, accuracy and validity of your novel algorithms
Use the data produced by your algorithms to help deepen the understanding of how impairments induced by neurological diseases impact the daily life of a patient
Work with our software developers to turn your algorithms into fully documented and validated high-quality code
Drive the understanding of the data analysis results by clinical development programs through the development of compelling narratives and presentation
Contribute to manuscripts for peer-reviewed journal articles to establish the biological, clinical and patient relevance of data collected in novel digital biomarker approaches
Contribute to the improvement and automation of the data processing and analysis pipeline across programs

Ihr Profil:

Very good university degree in engineering, mathematics, statistics, natural science or informatics
3+ years of experience with analysing biomedical data (preferred: accelerometer, optional: gyroscope, magnetometer, PPG data for heart rate and heart rate variability, ECG/EEG) collected preferably in neurological or musculoskeletal diseases
Hands on experience with basic statistics, time series analysis and signal processing methodologies (time and frequency domain -FFT, Wavelets-, system identification - AR, ARMA models)
Profound knowledge in Python, R or similar software packages/languages
Basic understanding of data analysis and machine learning concepts (train/test sets, cross-validation, etc.)
Hands on experience in Project Management/Project Support
Strong experience with analysing and visualizing large data sets
Track record of writing compelling publications in high impact, peer reviewed journals

Reference: 1246720074

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