Senior Data Scientist (Medical Imaging)

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

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

Company

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

What you will do

• Lead development of deep learning models for medical image analysis, with a focus on MRI and X-ray data.
• Design automated pipelines for disease detection, segmentation, quantification, and longitudinal image analysis.
• Develop AI-based biomarkers and surrogate endpoints to monitor disease progression and treatment efficacy.
• Integrate imaging AI solutions into clinical trial protocols and workflows with clinical operations teams.
• Build scalable infrastructure for large-scale, multi-site medical imaging datasets.
• Present imaging insights and model performance to executive leadership and external partners.

Requirements

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or a related field focused on medical imaging.
• 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging.
• Deep expertise in computer vision and deep learning architectures, including CNNs, U-Net, and Vision Transformers.
• Hands-on experience analyzing MRI and X-ray images, using DICOM standards and medical imaging software.
• Strong Python programming skills and expertise with PyTorch, TensorFlow, and medical imaging libraries.
• Ability to collaborate with radiologists and clinical teams and communicate complex imaging analytics to diverse stakeholders.

Nice to have

• Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools.
• Experience with multimodal imaging fusion, clinical trial design, or imaging core lab operations.
• Knowledge of federated learning, privacy-preserving medical imaging, radiomics, or quantitative imaging biomarkers.
• Experience with 3D image reconstruction and volumetric analysis.

Culture & Benefits

• Work on AI applications intended to accelerate drug development and improve patient outcomes.
• Collaborate with clinical teams, radiologists, regulatory specialists, and drug development experts.
• Equity, comprehensive benefits, and generous perks are included in the compensation package.
• Support for a hybrid work model in designated hiring hubs.