Beschreibung
One of the our client is in need of a Digital Biomarker Biomedical Engineer (m/w/x). For this reason, we are looking for a talented professional, who is willing to be a part of this project.General Information:
Start date: 01.07.2021 (asap)
Duration: 1 year
Extension: possible, prior approval needed
Workload: 100%
Work location: Basel area
Traveling: no
Home Office: max. 1 day per week, prior approval needed
Tasks & Responsibilities
- Work on large amounts of sensor data from smartphones, wearables and other devices (e.g. 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
Must Haves
- Very good university degree in engineering, mathematics, statistics, natural science or informatics
- 3+ years of experience with analyzing 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 (traintest sets, cross-validation, etc.)
- Hands on experience in Project Management / Project Support
- Strong experience with analyzing and visualizing large data sets
- Track record of writing compelling publications in high impact, peer reviewed journals
- Self-starting team player with strong and collaborative "can-do" attitude
- Excellent analytical, communication and writing skills in English
If this outstanding opportunity sounds interesting for you, do not hesitate to contact me for more details or send me your CV.
Sthree Switzerland is acting as an Employment Business in relation to this vacancy.