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

Requirements

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.

Benefits

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
retirement plan (pension)
savings plan (401(k))
long-term incentive program
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical methodologiesalgorithm developmentstatistical modelingBayesian methodologiestime series analysisfunctional data analysismachine learning methodsstatistical programming (R, Python, SAS)data analysisendpoint validation

Soft Skills

communication skillscollaboration skillscross-functional teamworkscientific impactpresentation skillsleadershiporganizational skillsproblem-solvingadaptabilitycritical thinking

Certifications

Ph.D. in biostatistics/statisticsMaster’s in biostatistics/statisticscertification in epidemiology