Beschreibung
General informationStart date: 01.07.2021
Latest start date: 01.08.2021
End date: 1 year
Extension: possible, prior approval needed
Workload: 100%
Work location: Basel
Remote: max. 1 day per week, prior approval needed
Travel: -
Team: 25 (1 similar position)
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 (train est 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
Nice to Haves
• Experience in leading data analysis teams and device analysis strategies
• Experience with software development processes and version tools (Git, Jira, etc.)
• Experience with deep learning and other machine learning techniques
• Experiences with hardware and sensor technology
• Previous hands-on clinical experience with neuromuscular atrophies/dystrophies is also interesting
• Experience in experimental/clinical study design