Digital Biomarker Biomedical Engineer
Digital Biomarker Biomedical Engineer
On behalf of our Pharma client, we are looking for a Digital Biomarker Biomedical Engineer for a 12 Month contract in Basel.
The perfect candidate:
The perfect candidate has a degree in biomedical engineering or a related field, more than 3 years experience with analyzing biomedical data and hands-on experience with statistics, as well as time series analysis and signal processing methodologies. Lastly, the person possesses profound knowledge in Python, R or a similar software.
General Information:
- Start date: 01.11.2022
- End date: 31.10.2023
- Extension: possible
- Workplace: Basel
- Workload: 80-100%
- Remote/Home Office: Home office possible, not fully remote (exceptions possible)
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 biomedical engineering, mathematics, statistics, natural science or computer science
- 3+ years of experience with analyzing biomedical data (preferred: accelerometer, gyroscope, magnetometer) 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
- 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 Have:
- Hands on experience in Project Management / Project Support 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
Interested in this opportunity? Kindly send us your CV today through the link in the advert. However, should you have any questions please contact Elaine Kanwar at +41 61 282 22 23
