Digital Biomarker Data Solutions Expert
vor 1 Monat
Overview
Roche is at the forefront of digital health technology, transforming the way personalized medicines are developed for patients. Our team is dedicated to creating community- and regulator-accepted digital endpoints and outcomes that redefine disease progression measurement in clinical drug trials.
Salary Range: $120,000 - $180,000 per year
Job Description
We're seeking a highly skilled data solution manager to co-create and drive the development of digital endpoints for multiple disease areas, accelerating the development of novel digital biomarker data insight products.
Your Impact
- In close collaboration with the dBM scientific solution lead and other stakeholders, co-develop data insights products around our digital health solutions, such as novel clinical trial endpoints.
- Lead data analysis related activities at the intersect of digital biomarker 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.
- Be the interface to other internal and external data science teams working related topics and data.
- Deliver scientific support for customer interactions: Participate in customer calls and scientific advisory meetings / Provide Data Analysis support for customer questions/ Support development of material for sales collateral.
- Lead data analysis activities in matrix teams.
- Drive the understanding of the 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.
Required Skills and Qualifications
- Very good university degree in engineering, mathematics, statistics, natural science or informatics.
- 5+ year of hands-on experience in data science (optional: signal processing) on digital biomarker data preferably in the clinical trial space.
- Knowledge on validation analysis methodologies to establish psychometric properties of read-outs derived from DHTs.
- Methods for longitudinal analysis of read-outs derived from DHTs.
- Experience in 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.
- Profound knowledge in Python, R or similar software packages/languages.
Benefits
At Roche, we offer a dynamic and supportive work environment, opportunities for professional growth, and a competitive compensation package.
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