Serve as a senior scientific leader for clinical and biomarker data analytics, partnering with Precision Measures and Neuroscience functions to drive data-informed biomarker strategy across discovery and development.
Lead quantitative analyses supporting biomarker discovery, screening funnel performance, and endpoint development, ensuring analytical rigor and fitness-for-purpose in a clinical trial context.
Apply advanced modeling and statistical methods to integrate multimodal biomarker data (e.g., imaging, fluid, clinical endpoints) and generate interpretable evidence to inform decision-making.
Quantify and interpret relationships between biomarkers and clinical outcomes, supporting assessment of biomarker utility for enrichment, stratification, and endpoint development.
Provide hands-on analytical leadership for biomarker datasets, including data curation, modeling, validation, and interpretation, with emphasis on reproducibility and scalability.
Partner closely with Clinical, Statistics, Data Science, and operational teams to ensure analytical approaches are aligned with study objectives, protocols, and development timelines.
Operate effectively in cross functional teams, influencing strategy and execution while leading complex analytical workstreams with broad autonomy and minimal supervision.
Provide technical guidance and mentorship to project teams, contributing to capability building and scientific excellence across the organization.

A Ph.D. degree in bioinformatics, biomedical engineering, applied statistics, or related fields.
At least 10 years of relevant experience.
A strong publication record, including first author publications in peer-reviewed journals.
Excellent communication, collaboration, and influencing skills.
Proven ability to work in teams with diverse expertise and lead projects with broad autonomy.
Hands-on experience with biomarker discovery or use of Neuroscience biomarkers in clinical trials. (Preferred)
Hands-on experience with advanced modeling methods (e.g., statistical modeling, multivariate methods, machine learning, or related quantitative approaches). (Preferred)

Vacation –120 hours per calendar year
Sick time
40 hours per calendar year; for employees who reside in the State of Colorado –48 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
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year

Senior Principal Scientist, Clinical and Biomarker Data Analytics – Neuroscience

Key skills