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Neuroimaging Analytics Specialist

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: CHDI Management
Full Time, Part Time position
Listed on 2026-10-18
Job specializations:
  • Research/Development
    Data Scientist
  • IT/Tech
    Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 115000 - 145000 USD Yearly USD 115000.00 145000.00 YEAR
Job Description & How to Apply Below
Title:

Neuroimaging Analytics Specialist

Location:

Princeton, NJ- 2 days per week in office requirement.

Reports To:

Vice President, Clinical Neuroimaging Research

Salary Range:

$115,000 – $145,000 Exact compensation will vary based on experience

Other:

Vaccination against COVID-19 is a prerequisite for employment at CHDI Management

About CHDI Foundation, Inc.

CHDI Foundation, Inc. is a privately funded nonprofit biomedical research organization exclusively dedicated to collaboratively developing therapeutics that will substantially improve the lives of those affected by Huntington’s disease (HD). CHDI has assembled a team of scientists and other professionals working in offices located in Los Angeles, New York City, and Princeton, NJ. Our scientists work closely with a network of more than 700 researchers in academic and industrial laboratories around the world in the pursuit of these novel therapies, providing strategic scientific direction to ensure that our common goals remain in focus.

CHDI works to increase the understanding of HD in order to hasten the development of therapeutic approaches. To achieve this goal, CHDI manages a diverse portfolio of research projects through a novel virtual model that encourages scientific collaboration, one which more directly connects academic research, drug discovery and clinical development. This helps bridge the translational gap that often exists between academic and industrial research pursuits and that adds costly delays to therapeutic development.

In its role as a collaborative enabler, CHDI seeks to bring the right partners together to identify and address critical scientific issues and move drug candidates to clinical evaluation as rapidly as possible. Our activities extend from exploratory biology to the identification and validation of therapeutic targets, and from drug discovery and development to clinical studies and trials. More information about CHDI can be found ifoundation.org.

Position

Summary

CHDI Foundation is expanding its neuroimaging analytics capabilities to accelerate the development of imaging biomarkers for Huntington’s disease (HD). We are seeking a highly motivated scientist with expertise in MRI and/or PET data analytics, quantitative image processing, and applied deep learning. This position will design and implement advanced data management pipelines, algorithm development, and artificial intelligence (AI) methods for structural and quantitative MRI, and PET imaging.

The scientist will oversee data handling, algorithm development, and quantitative analysis across imaging modalities to establish analysis-ready datasets for integration into CHDI’s neuroimaging studies and biomarker development strategies. The successful candidate will build reproducible pipelines, and deploy novel and AI-driven approaches to improve biomarker discovery, harmonization, and predictive modeling across multi-site datasets.

Key Responsibilities
  • Develop and manage robust data pipelines for MRI and PET data ingestion, curation, de-identification, BIDS conversion, and QC across imaging studies and study sites.
  • Implement and optimize software, algorithms, DL and AI based tools for:
    • Structural and quantitative MRI brain segmentation, tissue classification, image harmonization, denoising, and anomaly detection.
    • Dynamic and multi-dimensional imaging data handling, 4D data analysis.
    • Parametric and kinetic modeling of PET data for tracer quantification (SUVR, DVR, binding potential, and dynamic data modeling)
    • Predictive modeling and biomarker extraction using machine learning and deep neural networks (CNNs, 3D U-Nets, etc.).
  • Develop algorithms for cross-modality data fusion and multi-site harmonization.
  • Collaborate with site investigators and CHDI’s data…
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