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Senior Data Scientist, Medical Imaging

Heartflow· Research
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Hybrid (San Francisco, CA)$170k - $240kFull-timePosted 4w ago

About the role

Senior Data Scientist with a foundation in statistical data analysis and deep learning to drive data-centric AI initiatives in medical imaging for Heartflow’s portfolio, focusing on understanding how real-world imaging conditions affect model accuracy and reproducibility, and translating insights into downstream algorithm development and product decisions.

Responsibilities

  • Tooling & Pipelines: Build robust, reproducible analytical pipelines and visualizations over population-scale data, to characterise dataset distributions and model vulnerabilities across diverse patient populations.
  • Correction & Harmonization: Explore, develop, and validate methods for harmonizing complex data-related factors and image variations.
  • Data-Centric Deep Learning: Translate findings about data variance and model behaviour into actionable data curation requirements, training-time robustness strategies, and architectural recommendations for downstream algorithm development.
  • Data Curation and Annotation: Develop annotation protocols for algorithm training and validation for internal product development and FDA submissions.
  • Cross-Functional Collaboration and Communication: Partner with Research Scientists, Machine Learning Engineers, Systems Engineers, Process Engineers, Product and Regulatory teams; derive and present clear analyses from messy data to drive decision-making.

Qualifications

  • Masters or PhD Degree in Data Science, Computer Science, Medical Image Analysis, Statistics, Biomedical Engineering, or related quantitative field.
  • 5+ years (or 3+ with a PhD) of industry experience in Data Science, Machine Learning, or Image Analysis.
  • Measurement Science: Proficiency in reproducibility and agreement statistics (variance components, Gage R&R, intraclass correlation, repeatability and reproducibility coefficients, Bland-Altman) and ability to separate bias from irreducible variance.
  • Medical Imaging Expertise: Deep understanding of medical image data structures and imaging realities; familiarity with image processing tools for medical imaging.
  • Data Analysis & Statistics: Expert Python skills and experience with pandas, scipy, statsmodels, seaborn/matplotlib; ability to handle large, complex datasets.
  • Deep Learning Experience: Hands-on experience with deep learning (preferably PyTorch) for computer vision on medical images (segmentation, classification, detection).
  • AI-Augmented Workflow: Proficiency using modern agentic tools and LLMs (e.g., GitHub Copilot, Gemini, Claude) to accelerate development and build reproducible pipelines.
  • Communication: Ability to distill complex analyses into clear strategic insights for cross-functional stakeholders.

Skills

Required:PythonDeep LearningPyTorchStatistical AnalysisData CurationCommunication

Benefits

  • Bonus, equity (base salary range: $170,000 to $240,000)
  • Hybrid work arrangement (#LI-Hybrid)
Last updated Sep 28, 2026. Interested? Apply on the company site.

About Heartflow

Decisive Coronary Care

Heartflow’s vision is to transform CAD from the leading cause of death into a disease that can be managed for life.

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