Data Scientist, Medical Imaging (Open Level)

Formation Bio•Boston, MA

1d•$177,500 - $232,000•Hybrid

About The Position

As a Senior Data Scientist - Medical Imaging at Formation Bio, you will lead efforts to integrate advanced imaging analytics and AI into the drug development pipeline. You will apply computer vision and deep learning to medical imaging data, including MRI, X-ray, CT, and PET, to accelerate clinical trials and improve patient outcomes. You will develop models for automated image analysis, disease progression monitoring, and treatment response assessment. Working with clinical teams, radiologists, and drug development experts, you will translate imaging data into insights that inform decisions across the company’s portfolio. The role focuses on developing image-analysis models and pipelines, analyzing longitudinal images, and integrating imaging AI into clinical trial protocols and workflows. You will also work with regulatory teams on imaging biomarkers and AI models for clinical trial endpoints, build infrastructure for large-scale, multi-site imaging datasets, and present findings to leadership and external partners.

Requirements

PhD in Computer Science, Biomedical Engineering, Medical Physics, or a related field, with a focus on medical imaging.
At least 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, such as CNNs, U-Net, and Vision Transformers, for medical image analysis.
Track record analyzing MRI and X-ray images, including hands-on experience with DICOM standards and medical imaging software.
Strong Python programming skills and expertise with PyTorch or TensorFlow and medical imaging libraries.
Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions.
Strong communication skills and ability to present complex imaging analytics to diverse stakeholders.

Nice To Haves

Experience with regulatory submissions involving imaging endpoints or AI-based image-analysis tools.
Experience with multi-modal imaging fusion and analysis, including 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.

Responsibilities

Lead development of deep learning models for medical image analysis, focusing on MRI and X-ray for clinical trial applications.
Design and implement automated image-processing pipelines for disease detection, segmentation, and quantification across therapeutic areas.
Develop approaches for longitudinal image analysis to track disease progression and treatment efficacy, 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 help 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.