Digital Biomarker Data Scientist – Parkinson’s, Huntington’s disease

• 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