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.

Job description

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 management and biomarker teams to establish scalable data transfer and analysis workflows.
Prepare data documentation, technical reports, visualizations, and presentations for internal reviews, publications, and external collaborations.

Qualifications

M.S. or B.A. in Electrical/Biomedical Engineering, Computer Science, Mathematics, Physics, Neuroscience, Data Science, or related quantitative discipline.
3+ years of hands-on experience in medical imaging data analysis, including image reconstruction, segmentation, registration, and quantitative image analysis.
Proficiency in Python, MATLAB, and/or R; with programming and AI/ML expertise; experience with AI/deep learning frameworks such as PyTorch, TensorFlow, etc.
Experience with neuroimaging software packages (FreeSurfer, FSL, SPM, ANTs, PMOD, Nipype) and data standards (DICOM, BIDS, etc.).
Strong background in machine learning, image processing; algorithm development.
Proven ability to manage and analyze large, multi-site imaging datasets, ensuring data integrity and reproducibility.
Experience applying AI/DL for neuroimaging, including segmentation, harmonization, or anomaly detection.

Requirements

M.S. or B.A. in Electrical/Biomedical Engineering, Computer Science, Mathematics, Physics, Neuroscience, Data Science, or related quantitative discipline.
3+ years of hands-on experience in medical imaging data analysis, including image reconstruction, segmentation, registration, and quantitative image analysis.
Proficiency in Python, MATLAB, and/or R; with programming and AI/ML expertise; experience with AI/deep learning frameworks such as PyTorch, TensorFlow, etc.
Experience with neuroimaging software packages (FreeSurfer, FSL, SPM, ANTs, PMOD, Nipype) and data standards (DICOM, BIDS, etc.).
Strong background in machine learning, image processing; algorithm development.
Proven ability to manage and analyze large, multi-site imaging datasets, ensuring data integrity and reproducibility.
Experience applying AI/DL for neuroimaging, including segmentation, harmonization, or anomaly detection.

Benefits

COVID-19 vaccination required

Company overview

CHDI Management, Inc. is a specialized administrative and management services organization established in 2002 to support CHDI Foundation, Inc., a private nonprofit biomedical research entity exclusively dedicated to Huntington's disease (HD) therapeutics development. Operating as the operational backbone of the CHDI ecosystem, CHDI Management provides comprehensive administrative, management, and grant-making services from its offices in New York, Los Angeles, and Princeton. The organization employs a unique "virtual pharma" model, managing a global network of over 700 researchers across academic and industrial laboratories worldwide. CHDI Management coordinates strategic scientific direction, project management, and collaborative initiatives aimed at accelerating therapeutic development for HD. Their services encompass everything from exploratory biology and target validation to drug discovery, clinical development, and trial management. The organization also oversees Enroll-HD, a worldwide clinical research platform with more than 28,000 participants across 23 countries, and manages the HD Community BioRepository that provides critical research reagents to the scientific community. As a nonprofit entity, CHDI Management's mission is to bridge the translational gap between academic research and clinical application, de-risking therapeutic approaches to facilitate pharmaceutical partnerships and ultimately deliver meaningful treatments to HD patients as rapidly as possible.