Digital Biomarker Algorithm R&D Manager
vor 2 Monaten
About the Role
Roche is seeking a highly skilled Algorithm R&D Manager to join our Digital Biomarker team. As a key member of our team, you will be responsible for developing and implementing signal processing algorithms to extract meaningful features from raw sensor data collected with our digital health technology tools.
Key Responsibilities
- Develop and oversee the library of signal processing algorithms to extract meaningful features from raw sensor data
- Collaborate with the technical product owner to develop and execute strategies for validation of algorithms and devices
- Support the development of novel data insights products around our digital health technology tools
- Scientifically support customer interactions by providing data analysis support for customer questions and developing sales collateral
- Lead activities in matrix teams and drive the understanding of data analysis results by clinical development programs through compelling narratives and presentations
Requirements
- Very good university degree in engineering, mathematics, statistics, natural science, or informatics
- 5+ years of hands-on experience with signal processing accelerometer, gyroscope, audio data collected with digital health technologies, optimally collected in neurological diseases in a clinical trial context
- Understanding of the V3 framework and similar approaches
- Track record of algorithm validation
- ML/AI experience
- Experience in working in a goal-oriented manner with the customer in mind
- Strong experience with analyzing and visualizing large data sets
- Experience of working collaboratively within a large team and managing your time against competing demands
- Track record of writing compelling publications in high-impact, peer-reviewed journals
- Proficient in Python (optional: R or similar software packages/languages)
- Excellent English language skills
About Roche
Roche is a leading healthcare company that is dedicated to creating community- and regulator-accepted digital endpoints and digital outcomes that redefine the way we measure disease progression in clinical drug trials and make them accessible to Biopharma companies and the research community.
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