Principal Data Scientist, Medical Imaging

About Formation Bio Formation Bio is a tech and AI-driven pharma company focused on radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress due to the high costs and time of clinical trials. Founded in 2016 as TrialSpark Inc., Formation Bio has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. The company partners, acquires, or licenses drugs from pharma companies, research organizations, and biotechs to develop programs beyond clinical proof of concept, ultimately helping to bring new medicines to patients. Backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. Learn more at: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform Our values drive our mission to revolutionize the pharma industry. Every team and individual shares these values and plays a key role in our goal to bring new treatments to patients faster and more efficiently. About the Position As a Principal Data Scientist - Medical Imaging, you will lead efforts to integrate advanced imaging analytics and AI into our drug development pipeline. Your work will pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You will develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment, collaborating closely with clinical teams, radiologists, and drug development experts. This role offers a unique opportunity to transform medical imaging in pharmaceutical development and impact patient care. Responsibilities Lead development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trials. Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas. Create innovative 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 ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints. Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site trials. Present imaging insights and model performance to leadership and external partners. About You Required Qualifications PhD in Computer Science, Biomedical Engineering, Medical Physics, or 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 (CNNs, U-Net, Vision Transformers) for medical image analysis. Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software. Strong programming skills in Python with expertise in PyTorch / TensorFlow and medical imaging libraries. Ability to collaborate with radiologists and clinical teams to translate insights into technical solutions. Strong communication skills to present complex imaging analytics to diverse stakeholders. Preferred Qualifications Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools. Experience with multi-modal imaging fusion and analysis (MRI, CT, PET). Knowledge of clinical trial design and imaging core lab operations. Experience with federated learning or privacy-preserving techniques for medical imaging. Understanding of radiomics and quantitative imaging biomarkers. Experience with 3D image reconstruction and volumetric analysis. Formation Bio is prioritizing hiring in key hubs: New York City, Boston, Research Triangle (NC), and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate. Compensation The target salary range is $222,000 - $275,000, based on factors including geographic location. This range includes base salary only. We also offer equity, benefits, perks, hybrid work, and more. Even if this range doesn't match your expectations, we encourage you to apply as we may have other opportunities. We are an equal opportunity employer, considering all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. LI-hybrid

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