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Salary: USD 180,000 - 215,000 / annual
HeartFlow is a publicly traded medical technology company (HTFL) pioneering AI-driven solutions for coronary artery disease diagnosis and management. The company's flagship product, HeartFlow FFR_CT Analysis, uses cutting-edge AI to provide 3D models of coronary arteries and assess blood flow impact. With international clearance and use across 750,000+ patients globally, HeartFlow is expanding its product pipeline and team.
You will lead high-impact projects in a regulated medical environment, focusing on how real-world imaging conditions affect algorithm accuracy and reproducibility. This role bridges data science, product development, and clinical needs, requiring both technical depth and cross-functional collaboration.
Key Responsibilities:
- Build robust analytical pipelines and visualizations over population-scale data to characterize dataset distributions and algorithm performance across diverse patient populations
- Translate findings about data variance and algorithm behavior into actionable requirements and algorithmic design recommendations
- Formulate data annotation protocols for internal product development and FDA submissions
- Collaborate cross-functionally with Research, Product, Clinical, and Engineering teams to transform clinical needs into cloud-based software solutions
- Lead regulatory submission efforts, ensuring software components comply with relevant regulations by working closely with quality and regulatory teams
- Lead technical projects from conception to deployment
- Foster team growth through technical leadership and knowledge sharing
- Diagnose and resolve complex technical issues across distributed systems, often under time constraints
Requirements:
- Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Biomedical Engineering, or a related quantitative field
- 5+ years of industry experience in Data Science, Biomedical Signal Analysis, or Biomedical Image Analysis (or 3+ years with a Ph.D.)
- Expert proficiency in Python and statistical data analysis ecosystems (pandas, bokeh, statsmodels, or similar)
- Proven experience working with large, complex, and messy datasets
- Strong interpersonal communication skills; comfortable presenting results and recommendations to stakeholders
- Team-oriented mindset with satisfaction in collaborating on difficult problems and providing mentorship
- Proven experience with regulatory submissions and developing medical software in FDA, MDR, or similarly regulated environments
- Experience in image processing, computer vision, or 3D computational geometry
- Demonstrated experience with software development best practices: testing, CI/CD, and agile methodologies
- Proficiency with orchestration tools (e.g., GitHub Actions) and Linux CLI navigation
- Excellent troubleshooting and diagnostic skills across applications, networks, and cloud environments
Desirable:
- Experience collaborating directly with Product and Research teams on real-world medical challenges
- Deep knowledge of statistical methods, image optimization techniques, and advanced visualization tools
- Familiarity with HIPAA compliance and healthcare data security best practices
- Open-source contributions or publications in relevant technical or clinical fields
