Senior Data Scientist, Medical Imaging - Hybrid

Formation Bio; Boston, New York (MA, NY); Ibrido; USD 178.000 - 232.000; Tempo pieno

Descrizione del lavoro

Formation Bio is seeking a Senior Data Scientist - Medical Imaging to lead AI-powered imaging in our drug development pipeline. You will build deep learning models for MRI and X-ray data, develop automated pipelines, and translate imaging findings into trial insights with radiologists and clinical teams.

This role offers a hybrid work model with hubs in Boston and New York, enabling collaboration across regulatory, clinical, and scientific teams to accelerate patient-focused outcomes.

Competenze

• PhD in CS/Biomedical Engineering or Medical Physics with imaging focus.
• 5+ years post-PhD in production AI for medical imaging.
• Strong CV and deep learning expertise for medical image analysis.
• Hands-on with MRI/X-ray analysis and DICOM standards.

Mansioni

• Lead deep learning model development for MRI and X-ray clinical trials.
• Design automated pipelines for disease detection, segmentation, quantification.
• Develop longitudinal imaging analysis and AI biomarkers for endpoints.
• Collaborate with clinical teams to integrate imaging AI in trials.
• Coordinate with regulatory teams for FDA-aligned imaging endpoints.
• Build scalable infrastructure for large multi-site imaging datasets.
• Present imaging insights and model performance to leadership.

Conoscenze

Computer vision

Deep learning

CNNs

U‑Net

Vision Transformers

DICOM

Python

PyTorch

TensorFlow

Medical imaging

Formazione

PhD in Computer Science

PhD in Biomedical Engineering

Strumenti

PyTorch

TensorFlow

Medical imaging libraries

DICOM tools

Descrizione del lavoro

Formation Bio is seeking a Senior Data Scientist - Medical Imaging to lead AI-powered imaging in our drug development pipeline. You will build deep learning models for MRI and X-ray data, develop automated pipelines, and translate imaging findings into trial insights with radiologists and clinical teams.

This role offers a hybrid work model with hubs in Boston and New York, enabling collaboration across regulatory, clinical, and scientific teams to accelerate patient-focused outcomes.