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Digital Biomarker Data Scientist – Parkinson’s and Huntington’s Disease at Roche, Austria Remote
Roche is seeking a data scientist to validate digital biomarkers for Parkinson’s and Huntington’s disease. The role develops statistical endpoints and supports biopharma customers with clinical trial solutions.
विवरण
- Lead statistical analyses that establish psychometric properties, construct validity, test–retest reliability, and responsiveness for novel digital endpoints.
- Create and implement statistical analysis plans for clinical validation studies.
- Apply longitudinal models to assess disease progression and treatment effects.
- Develop methods for non-compliance, variable device wear time, and missing remote-sensor data.
- Ensure validation workflows follow the DiME V3 framework and FDA digital health technology guidance.
- Act as a data science specialist in pre-sales discussions, sponsor meetings, and scientific advisory boards.
- Partner with biopharma customers to understand development pipelines and design digital endpoint strategies.
- Turn statistical findings and validation evidence into value propositions, sales materials, and proposals.
- Support customer questions about data interpretation and clinical trial design with scientific and statistical expertise.
- Contribute quantitative evidence and statistical content to regulatory briefing packages for the FDA, EMA, and other agencies.
- Write and contribute to peer-reviewed publications on digital readouts in Parkinson’s and Huntington’s disease.
- Create visual presentations and clinical narratives for internal and external audiences.
आवश्यकताएँ
- Master’s degree or Ph.D. in data science, statistics, biostatistics, applied mathematics, or a related quantitative discipline.
- At least five years of practical data science or biostatistics experience focused on digital health technologies, digital biomarkers, or clinical trial outcome measures.
- Extensive knowledge of statistical validation, including analytical and clinical validation, psychometric assessment, longitudinal and mixed-effects modeling, and survival analysis.
- Strong experience with missing-data imputation, trajectory modeling, and noise reduction.
- Familiarity with the DiME V3 framework and FDA digital health technology guidance.
- Background in customer-facing work, scientific advisory, or pre-sales consulting for biopharma or digital health organizations.
- Ability to understand trial objectives and advise on endpoint integration strategies.
- Advanced Python or R skills for statistical modeling, visualization, and reproducible reporting.
- Excellent written and spoken English communication skills.
- Record of publishing in peer-reviewed journals.
- Experience explaining technical concepts to non-technical executives and clinical teams.
- Knowledge of movement disorders or neurodegenerative diseases, including clinical rating scales, is desirable.
- Experience taking part in regulatory agency meetings is desirable.
- Basic understanding of time-series analysis or signal processing is desirable.
लाभ
- New Apple hardware
- Fitness benefits
- Public transportation benefit
- Lunch benefit
- Language classes
- Professional development training budget
- Opportunities to attend global conferences
- Flexible working hours
- Home office policy
- Five weeks of vacation
- Rooftop terrace
- Fully stocked kitchen
- Barista coffee machines
- Family-friendly career paths
- Opportunities for professional and personal growth
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