Digital Biomarker Biomedical Engineer
CTC
Basel and NW Switzerland, CH
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 :
- Relevant 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
Nice to Have :
- 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
Il y a 15 jours