Digital Biomarker Data Insights Lead
vor 2 Wochen
The Role
We are seeking a highly skilled Data Insights Lead to join our Digital Biomarker team at Roche. As a key member of our team, you will play a crucial role in co-creating and driving the development and application of digital endpoints for multiple disease areas.
Key Responsibilities
- Collaborate with our Digital Biomarker scientific solution lead and other stakeholders to develop data insights products around our digital health solutions.
- Lead data analysis activities at the intersection of digital biomarkers and established clinical data.
- Co-develop and execute data analysis plans around the clinical validation of digital features/scores derived from our digital health solutions.
- Interface with internal and external data science teams working on related topics and data.
- Deliver scientific support for customer interactions, including participating in customer calls and scientific advisory meetings, providing data analysis support for customer questions, and supporting the development of material for sales collateral.
- Lead data analysis activities in matrix teams.
- Drive the understanding of data analysis results by clinical development programs through the development of compelling narratives and presentations.
- Write manuscripts for peer-reviewed journal articles to establish the biological, clinical, and patient relevance of data collected in novel digital biomarker approaches.
Requirements
- Very good university degree in engineering, mathematics, statistics, natural science, or informatics.
- 5+ years of hands-on experience in data science (optional: signal processing) on digital biomarker data, preferably in the clinical trial space.
- Knowledge of validation analysis methodologies to establish psychometric properties of read-outs derived from DHTs.
- Methods for longitudinal analysis of read-outs derived from DHTs.
- Experience working in a goal-oriented manner with the customer in mind.
- Understanding of regulatory requirements for endpoint development with emphasis on digital health technologies.
- Strong experience with analyzing and visualizing large data sets.
- Track record of writing compelling publications in high-impact, peer-reviewed journals.
- Proficient in Python, R, or similar software packages/languages.
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