# Senior Data Scientist, Medical Imaging at HeartFlow

- Company: HeartFlow
- What the company does: Heartflow’s vision is to transform CAD from the leading cause of death into a disease that can be managed for life.
- Company website: https://www.heartflow.com
- Type: Startups
- Level: Senior
- Location: San Francisco, California
- Work setup: On-site
- Posted: 2026-09-21
- Apply by: 2026-11-05
- Apply: https://job-boards.greenhouse.io/heartflowinc/jobs/6204391004
- Page: https://www.1752.vc/careers/jobs/heartflow-senior-data-scientist-medical-imaging/

## About the role

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFR CT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart.

## What they're looking for

- Education: Masters or PhD Degree in Data Science, Computer Science, Medical Image Analysis, Statistics, Biomedical Engineering, or a related quantitative field
- Experience: 5+ years (or 3+ with a PhD) of industry experience in Data Science, Machine Learning, or Image Analysis
- Medical Imaging Expertise: Deep understanding of medical image data structures and the physical/clinical realities of imaging. Familiarity with image processing tools and building algorithms for medical imaging data
- Data Analysis & Statistics: Expert proficiency in Python and statistical data analysis ecosystems (e.g., pandas, scipy, statsmodels, seaborn/matplotlib). Proven ability with large, complex, and messy datasets
- Deep Learning Experience: Hands-on experience developing or fine-tuning deep learning algorithms (preferably using PyTorch) for computer vision tasks (segmentation, classification, detection) applied to medical images
- Communication: Exceptional ability to distill complex, multi-dimensional data analyses into clear, strategic insights for cross-functional stakeholders

Tags: Research