Design, develop, and validate statistical approaches and algorithms for patient stratification, leveraging both clinical trial and real-world datasets.
Lead the statistical design, analysis, and validation of novel digital endpoints (e.g., wearables, speech, cognition) for neuroscience.
Partner with our multidisciplinary team to ensure biological and clinical relevance of patient stratification strategies and novel endpoints.
Apply rigorous statistical methodologies to algorithm development, ensuring reproducibility, robustness, and regulatory readiness.
Develop and maintain statistical analysis plans, simulation studies, and innovative methodologies tailored to multimodal datasets.
Apply advanced statistical and machine learning methods to large-scale datasets, including EHRs, claims, registries and longitudinal cohort studies.
End-to-end expertise in RWE research including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
Communicate findings and methodologies clearly to scientific, clinical, and non-technical stakeholders.
Contribute to regulatory submissions, publications, and presentations at internal and at scientific meetings.
Stay current with emerging statistical methodologies, regulatory guidance, and best practices in RWE.

Ph.D. or Master’s in biostatistics/statistics, epidemiology, or related field
8+ years of experience in pharmaceutical, biotech, RWE consulting or healthcare analytics
Expertise in statistical modeling including inference, Bayesian methodologies, time series analysis and functional data analysis approaches
Knowledge of state-of-the-art AI methodologies is an advantage
Experience working with real-world data (EHR, claims, registries, digital health) and familiarity with their opportunities and limitations
Knowledge of endpoint validation frameworks and regulatory requirements (e.g., FDA/EMA) is highly desirable
Proficiency in statistical programming languages (R, Python, SAS, or equivalent)
Demonstrated ability to work in a cross-functional environment, with excellent communication and collaboration skills
A track record of scientific impact through publications, conference presentations, and/or regulatory interactions
Experience working with neuroscience datasets (e.g., MRI, EEG, digital cognitive measures, biomarkers) and understanding of their clinical context is desired.

medical, dental, vision, life insurance, short
and long-term disability, business accident insurance, and group legal insurance
Company’s consolidated retirement plan (pension)
Company’s savings plan (401(k))
Vacation –120 hours per calendar year
Sick time
40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time
up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours

Director, R&D Data Science – Digital Health, Real-World Evidence, Neuroscience

Key skills