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Digital Biomarker Biomedical Engineer
CTCBasel and NW Switzerland, CHVor 30+ Tagen
StellenbeschreibungRelevant Swiss working / residency permit or Swiss / EU-Citizenship required ; Master’s degree preferred : biomedical engineering (alternatively : statistics, computer science, engineering or related technical fields) Minimum 3-5 years’ experience with time-series analysis techniques such as FFT, peak detection, filtering, optimal : applied to IMU data from wearables or smartphones Knowledge of applying statistical methods for e.g. ICC, Bland-Altmann plots, linear mixed models Proficient with Python (e.g. Pandas, SciPy, matplotlib, seaborn) Sound knowledge of best software development practices : unit testing, documentation, version control Being able to discuss with and understand various stakeholders (data scientists, clinical managers, biostatisticians, business development managers, …) Excellent English communication skills, both written and spoken Experience with time series data originating from digital sensors (e.g. inertial sensor data) Experience with regulatory frameworks such as V3+ Disease and clinical trial knowledge, especially in movement disorders Experience with working in a cloud environment
Main Responsibilities :
- Support the digital biomarker evidence generation activities with data analysis and statistical expertise
- Perform sensor time-series analysis to improve and validate digital biomarker algorithms
- Support the organization and documentation of data coming from various sources and systems to facilitate the data analysis efforts
- Be responsible for a work package : break down a business question into planned work, following up of work in progress, risk assessment, communicating on progress and results, reading literature, writing reports and publications
- Contribute to development and maintenance of sensor data processing pipelines
- Contribute to analytical validation analyses
Qualifications and Experience :
Nice to Have :