Responsibilities:
1. Support the digital biomarker evidence generation activities with data analysis and statistical expertise.
2. Perform sensor time-series analysis to improve and validate digital biomarker algorithms.
3. Support the organization and documentation of data coming from various sources and systems to facilitate the data analysis efforts.
4. Be responsible for a work package: break down a business question into planned work, follow up on work in progress, conduct risk assessments, communicate on progress and results, read literature, and write reports and publications.
5. Contribute to the development and maintenance of sensor data processing pipelines.
6. Contribute to analytical validation analyses.
Minimum Requirements:
1. Master's degree in biomedical engineering (alternatively: statistics, computer science, engineering, or related technical fields).
2. Solid experience with time-series analysis techniques such as FFT, peak detection, filtering, applied to IMU data from wearables or smartphones.
3. Knowledge of applying statistical methods for e.g. ICC, Bland-Altmann plots, linear mixed models.
4. Proficient with Python (e.g. Pandas, SciPy, matplotlib, seaborn).
5. Sound knowledge of best software development practices: unit testing, documentation, version control.
6. Able to discuss with and understand various stakeholders (data scientists, clinical managers, biostatisticians, business development managers).
7. Excellent English communication skills, both written and spoken.
Additional Information:
1. You will work in an international environment.
2. A very renowned company.
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