Senior Principal Scientist, Clinical and Biomarker Data Analytics (Neuroscience)

Johnson & Johnson•San Diego, CA

About The Position

Johnson & Johnson, is recruiting for a Senior Principal Scientist, Clinical and Biomarker Data Analytics (Neuroscience) to be based at one of our sites in San Diego, CA, Titusville, NJ, or Boston, MA. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Our Neuroscience team tackles the world’s toughest brain health challenges including multiple sclerosis, Alzheimer’s disease, Parkinson’s disease, myasthenia gravis, epilepsy, major depressive disorder, bipolar disorder, schizophrenia, and autism. This patient-focused team helps address some of the most complex diseases of our time. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine The Neuroscience Precision Measures (PM) Team is an integrated scientific organization supporting the delivery of precision therapeutics to patients with CNS disorders across neuropsychiatry, neurodegeneration, and ophthalmology. The team brings together disease experts, biomarker scientists, computational biologists, and leaders in imaging and digital health, and partners closely with Neuroscience Discovery and Development organizations to advance an industry‑leading portfolio of novel mechanisms. Precision Measures advances measurement science grounded in human data—including fluids, tissues, high‑dimensional biology, and neuroimaging—to support the end‑to-end portfolio. In close collaboration with internal and external partners, the organization delivers decision‑enabling insights spanning target selection, early and late clinical development, regulatory submissions, and post‑market evidence generation. The Senior Principal Scientist, Clinical and Biomarker Data Analytics is a senior individual contributor who serves as a scientific and analytical leader supporting neuroscience biomarker discovery, screening funnel optimization, and biomarker endpoint development from discovery through clinical development. Reporting to the Head of Quantitative Imaging and Clinical Biomarkers, the incumbent works in close partnership with Precision Measures and across Neuroscience functions on advanced quantitative and modeling approaches to enable robust biomarker strategies and development decisions. Operating with minimal direction, the incumbent leads biomarkers analyses across disease areas and measurement modalities. The role requires independent scientific judgment and deep quantitative expertise to evaluate and validate biomarkers in their context of use. The incumbent serves as a key scientific authority on cross‑functional teams and contributes to biomarker strategy development, analytical evidence packages, and expert input.

Requirements

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.

Nice To Haves

Hands-on experience with biomarker discovery or use of Neuroscience biomarkers in clinical trials.
Hands-on experience with advanced modeling methods (e.g., statistical modeling, multivariate methods, machine learning, or related quantitative approaches).

Responsibilities

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.

Benefits

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and 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 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 period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year