mySugr
mySugr
mySugr एक स्वास्थ्य और वेलनेस कंपनी है, जो मधुमेह के साथ जीवन जी रहे लोगों और उनका सहयोग करने वाले संगठनों के लिए डिजिटल मधुमेह देखभाल विकसित करती है। इसका ऐप-आधारित प्लेटफ़ॉर्म मधुमेह संबंधी मार्गदर्शन, उपचार प्रबंधन, चिकित्सा सामग्री, स्वचालित डेटा ट्रैकिंग और चिकित्सा उपकरणों से कनेक्शन को एक साथ लाता है, ताकि रोज़मर्रा में मधुमेह का प्रबंधन अधिक व्यावहारिक बन सके। मधुमेह से पीड़ित लोगों के सुझावों से विकसित mySugr सरल डिजिटल टूल और देखभाल समाधान पर ध्यान केंद्रित करती है और डिजिटल स्वास्थ्य क्षेत्र में अपनी टीम का विस्तार कर रही है।

Digital Biomarker Data Scientist - Parkinson's and Huntington's Disease, Vienna

Develop validated digital endpoints for Roche's Parkinson's and Huntington's disease solutions through statistical analysis, clinical validation, and regulatory evidence. Advise biopharma customers on digital endpoint strategy, trial design, and interpretation of sensor data.

विवरण

  • Lead statistical analyses to assess the psychometric properties, construct validity, test-retest reliability, and responsiveness of digital endpoints
  • Create and implement statistical analysis plans for clinical validation studies
  • Apply longitudinal models to assess disease progression and treatment effects
  • Develop approaches for non-compliance, variable device wear time, and missing remote-sensor data
  • Ensure validation processes align with DiME V3 and FDA digital health technology guidance
  • Act as a data science subject matter expert during pre-sales discussions, sponsor meetings, and scientific advisory boards
  • Partner with biopharma customers to understand development pipelines and design digital endpoint strategies
  • Convert statistical methods and validation findings into value propositions, sales materials, and proposals
  • Support customer questions on data interpretation and clinical trial design with scientific and statistical expertise
  • Provide quantitative evidence and statistical content for regulatory briefing packages
  • Write and contribute to peer-reviewed publications on digital readouts in Parkinson's and Huntington's disease
  • Create visual presentations and clinical narratives for multidisciplinary audiences

आवश्यकताएँ

  • Master's or doctoral degree 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
  • Advanced knowledge of statistical validation, including analytical and clinical validation, psychometric assessment, longitudinal and mixed-effects models, 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
  • Experience in customer-facing, scientific advisory, or pre-sales consulting roles in biopharma or digital health
  • Ability to interpret trial objectives and advise on endpoint integration strategies
  • Advanced Python skills, or equivalent R experience, for statistical modeling, visualization, and reproducible reporting
  • Excellent written and spoken English communication skills
  • Published peer-reviewed research and experience explaining technical concepts to executives and clinical teams
  • Knowledge of movement disorders or neurodegenerative diseases, including clinical rating scales, is preferred
  • Experience contributing to regulatory agency meetings is preferred
  • Basic understanding of time-series analysis or signal processing is preferred

लाभ

  • New Apple hardware
  • Fitness benefits
  • Public transport allowance
  • Lunch benefit
  • Language courses
  • Professional development budget
  • Attendance at international 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 development

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