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HE
Staff Data Scientist
HeartFlow · San Francisco, United States
About The Role
Join HeartFlow, a pioneering company in AI and medical imaging. As a Staff Data Scientist, you will play a crucial role in bridging the gap between advanced research and production-grade ML systems. You will engage with cross-functional teams, drive the evolution of AI algorithms, and develop comprehensive data curation strategies. This position offers a competitive benefits package, including medical, dental, and vision coverage, a 401k plan with employer match, paid sick time and vacation, and more.
- Engage with cross-functional teams to guide the vision for data analysis, curation, and annotation to improve AI models.
- Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements.
- Develop comprehensive data curation strategies for improvements to AI models and partner with MLOps to architect data management systems.
- AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred
- Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree
- Influence without Authority: Able to build trust and obtain cross-functional alignment across departments
- Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed
- Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus
- (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier—accelerating coding, prototyping, and complex data analysis—while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy
- Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs
- Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards
- Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings
- Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus
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