
10,000+ employees
Founded 1896
🏥 Healthcare
⚕️ Healthcare Insurance
💊 Pharmaceuticals
Healthcare • Healthcare Insurance • Pharmaceuticals
Roche is at the forefront of technological advancements in healthcare. The company emphasizes the importance of diversity, equity, and inclusion across its global workforce of over 101,000 employees. Roche is particularly focused on research and development, digital innovation, and creating sustainable collaborations to benefit patients worldwide. With a strong culture of rewarding employee performance, Roche provides a diverse range of career opportunities in areas such as tech, manufacturing, and business strategy, encouraging innovation to transform global healthcare. The company also offers various programs for students and graduates, and operates in several countries, including Germany, Austria, and Switzerland.
🔥 5 minutes ago
🌐 Austria, Switzerland, +1 more countries – Remote
💵 €3.8k / month
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
👻 Ghost score 0%
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10,000+ employees
Founded 1896
🏥 Healthcare
⚕️ Healthcare Insurance
💊 Pharmaceuticals
Healthcare • Healthcare Insurance • Pharmaceuticals
Roche is at the forefront of technological advancements in healthcare. The company emphasizes the importance of diversity, equity, and inclusion across its global workforce of over 101,000 employees. Roche is particularly focused on research and development, digital innovation, and creating sustainable collaborations to benefit patients worldwide. With a strong culture of rewarding employee performance, Roche provides a diverse range of career opportunities in areas such as tech, manufacturing, and business strategy, encouraging innovation to transform global healthcare. The company also offers various programs for students and graduates, and operates in several countries, including Germany, Austria, and Switzerland.
• Lead statistical analysis activities to establish psychometric properties, construct validity, test-retest reliability, and responsiveness of novel digital endpoints • Design and execute statistical analysis plans for clinical validation studies • Use longitudinal modeling to track disease progression and evaluate treatment effects • Develop statistical strategies for non-compliance, variable wear time, and missing remote sensor data • Align validation workflows with DiME V3 and FDA DHT guidance • Serve as a data science subject matter expert in pre-sales calls, sponsor meetings, and scientific advisory boards • Collaborate with biopharma customers to understand drug development pipelines and co-design digital endpoint strategies • Translate statistical concepts and validation evidence into value propositions, sales collateral, and proposals • Provide scientific and statistical support for customer queries on data interpretation and trial design • Contribute quantitative evidence and statistical sections to regulatory briefing packages for FDA, EMA, and other agencies • Author and co-author peer-reviewed journal articles on digital readouts in Parkinson’s and Huntington’s disease • Build visual presentations and clinical narratives for internal and external stakeholders
• Advanced university degree (Master’s or Ph.D.) in Data Science, Statistics, Biostatistics, Applied Mathematics, or a related quantitative field • 5+ years of hands-on experience in data science or biostatistics, focused on digital health technologies, digital biomarkers, or clinical trial outcome measures • Deep expertise in statistical validation methodologies, including analytical/clinical validation, psychometric evaluation, longitudinal modeling, mixed-effects models, and survival analysis • Strong background in missing data imputation, trajectory modeling, and noise reduction • Familiarity with DiME V3 framework and FDA DHT guidance • Experience in customer-facing roles, scientific advisory, or pre-sales consulting within biopharma or digital health • Ability to understand client trial objectives and consult on endpoint integration strategies • Advanced proficiency in Python or R for statistical modeling, visualization, and reproducible reporting • Outstanding written and verbal English skills • Track record of peer-reviewed publications • Experience presenting technical concepts to non-technical executives and clinical teams • Domain knowledge in movement disorders or neurodegenerative diseases and familiarity with clinical rating scales (nice-to-have) • Experience participating in regulatory agency meetings (nice-to-have) • Basic familiarity with time-series analysis or signal processing concepts (nice-to-have)
• Brand new Apple hardware • Fitness benefits • Public transport benefit • Lunch benefit • Language classes • Professional training budget • Chance to join global conferences • Flexible working hours • Home office policy • 5 weeks vacation • Rooftop terrace • Fully stocked kitchen • Barista coffee machines • Family friendly career paths • Opportunities to develop and grow professionally and personally
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