Data Scientist, Medical Imaging (Open Level)

Location: Hybrid, requiring 3 days per week in office. Hiring is prioritized in the New York City and Boston metro areas; applicants in the Research Triangle, NC, and San Francisco Bay Area may also be considered. Applicants must reside in these locations or be willing to relocate.

Total compensation range: $177,500–$232,000, plus equity, comprehensive benefits, and perks.

Company

hirify.global is a technology- and AI-driven pharmaceutical company developing platforms and capabilities to make drug development and clinical trials more efficient.

What you will do

• Lead advanced deep learning model development for medical image analysis, primarily using MRI and X-ray data in clinical trials.
• Design automated pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas.
• Develop longitudinal image analysis approaches for tracking disease progression, treatment efficacy, AI-based biomarkers, and surrogate endpoints.
• Integrate imaging AI solutions into clinical trial protocols and workflows with clinical operations.
• Work with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints.
• Build scalable infrastructure for large-scale, multi-site medical imaging datasets and present model performance and imaging insights to executives and external partners.

Requirements

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or a related field with a focus on medical imaging.
• 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications.
• Deep expertise in computer vision and deep learning architectures, including CNNs, U-Net, and Vision Transformers, for medical image analysis.
• Proven experience analyzing MRI and X-ray images, including hands-on experience with DICOM standards and medical imaging software.
• Strong programming skills in Python and expertise with PyTorch or TensorFlow and medical imaging libraries.
• Ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions.
• Strong communication skills and the ability to present complex imaging analytics to diverse stakeholders.

Nice to have

• Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools.
• Experience with multi-modal imaging fusion and analysis combining MRI, CT, and PET data.
• Knowledge of clinical trial design and experience with imaging core lab operations.
• Experience with federated learning or privacy-preserving techniques for medical imaging.
• Understanding of radiomics and quantitative imaging biomarker development.
• Experience with 3D image reconstruction and volumetric analysis.

Culture & Benefits

• Hybrid work model with 3 days per week in the office.
• Equity, comprehensive benefits, and generous perks.
• Work focused on accelerating drug development and bringing new medicines to patients faster.
• Equal opportunity workplace committed to diversity and inclusion.