Digital Biomarker Biomedical Engineer
Digital Biomarker Biomedical Engineer
Experis IT is Europe's leading IT recruitment agency. We are dedicated to connecting talented individuals with Business opportunities across a number of professional sectors, with IT being at the heart of our operations.
For one of our clients specialized in the pharmaceutical industry we are looking for a Digital Biomarker Biomedical Engineer with proven experience in analyzing biomedical data.
This is a one year contracting position starting in July with extension possibilities.
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 algorithm
- 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\test 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
Location: Basel
Start Date: 01/07/2021
End date: 30/06/2022
Workload: 100%
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