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Formation Bio

AI-driven platform accelerates clinical-stage drug development

Data Scientist - Medical Imaging

Computer VisionConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A PhD in Computer Science, Biomedical Engineering, Medical Physics, or a related field with a focus on medical imaging is required.
  • At least 5 years of post-PhD industry experience developing production-grade AI models for medical imaging applications is required.
  • Deep expertise in computer vision and deep learning architectures, including convolutional neural networks, U-Net, and Vision Transformers, for medical image analysis is required.
  • A proven track record in MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software, is required.
  • Strong programming skills in Python and expertise with PyTorch, TensorFlow, and medical imaging libraries are required.
  • The candidate must be able to collaborate with radiologists and clinical teams to translate medical insights into technical solutions.
  • The candidate must be able to present complex imaging analytics to diverse stakeholders.

Responsibilities

  • Lead development of deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications.
  • Design and implement automated image-processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas.
  • Develop longitudinal image-analysis approaches to track disease progression and treatment efficacy in clinical trials, including AI-based biomarkers and surrogate endpoints.
  • Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows.
  • Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints.
  • Build scalable infrastructure to process and analyze large-scale medical imaging datasets from multi-site clinical trials.
  • Present imaging insights and model performance to executive leadership and external partners.

Desired Qualifications

  • 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.

About the Company

Formation Bio

AI-driven platform accelerates clinical-stage drug development

Formation Bio uses an AI-driven platform to speed up drug development by focusing on clinical-stage assets. It acquires and advances these assets using flexible financing structures, aiming to shorten timelines and cut costs for bringing new drugs to market. The core product is the proprietary AI tools that help with drug selection, development planning, and improving overall efficiency, enabling partnerships and successful commercialization with pharmaceutical and biotech companies. Compared with competitors, Formation Bio combines a data-powered approach with adaptable financing and asset acquisition strategies to move assets forward quickly and cost-effectively. The goal is to make treatments more accessible and affordable by accelerating development and enabling faster, more predictable commercialization through AI-enhanced decision making and flexible funding options.

Company size
51-200
Company stage
Series D
Total funding
$530.3M
Headquarters
New York City, New York
Founded
2013

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