AI/ML Job: Research Scientist - Machine Learning and Image Analysis

Research Scientist - Machine Learning and Image Analysis at HeartFlow

🇺🇸 United States › Texas › Austin   (Posted Oct 25 2021)

About the company
HeartFlow, Inc. is a medical technology company redefining the way heart disease is diagnosed and treated. Our non-invasive HeartFlow FFRct Analysis leverages deep learning to create a personalized 3D model of the heart. By using this model, clinicians can better evaluate the impact a blockage has on blood flow and determine the best treatment for patients. Our technology is reflective of our Silicon Valley roots and incorporates decades of scientific evidence with the latest advances in artificial intelligence. The HeartFLow FFRct Analysis is commercially available in the United State, Canada, Europe and Japan.

Job description
This position is for a scientist working in HeartFlow’s Image Analysis team whose primary responsibility will be to research, design, develop, test and deploy cutting-edge machine learning algorithms for image analysis using large amounts of annotated volumetric medical images. The scientist will tackle exciting problems that can include topics such as uncertainty modeling, multi-object segmentation, object recognition, image registration, prognostic modeling, image quality assessment, and multi-modal image analysis.

Job Responsibilities:
Solving cutting-edge scientific and technical challenges related to doing machine learning (deep learning) with a large amount of volumetric images.
Designing and developing image analysis algorithms and machine learning methods specifically for HeartFlow’s workflow with expert analysts in the loop.
Author top-tier journal and conference papers on your research at HeartFlow
Intellectual ownership and specific lead responsibility related to the design, development, testing and delivery of integration of the machine learning and image analysis algorithms into the HeartFlow production workflow.
Design, development, integration, testing and maintenance of specific service and monitoring interfaces and functionality for all components associated with the image processing algorithms and integration.
Adherence to and active participation in the continuous development and improvement of all software quality policies and processes.
Keeping up-to-date with the state-of-the-art by attending academic conferences and reading industry journals.
Publish and disseminate findings by publishing articles and presenting at conferences.

You have experience in the following:

Machine learning (deep learning)
Python (advanced programming)
C++ (knowledgeable)
Computer vision, image analysis

You are passionate about:
Solving prime medical problems with state-of-the-art technology
Revolutionizing the way cardiovascular disease is diagnosed and treated
Being a great engineer: 1) Familiarity with modern software development tools (bug tracking systems, source code revision control, automated testing) 2) Writing clean, modular, bug-free code 3)Algorithm development and computational complexity

You want to learn about:
Working in a regulated medical company
Cardiovascular disease
Computational fluid mechanics
Building efficient interactive software tools
High-performance and scalable computing
Cloud computing

Educational Requirements & Work Experience:
PhD in Computer Science, Math or related field with a focus on Machine Learning and Image Analysis is a must
A minimum of 2 years post-PhD work experience is desirable
Publication record in high-impact computer vision and/or machine learning journals or conferences is highly desirable

HeartFlow’s Image Analysis team develops the cloud processing technologies that automatically analyze cardiac CTA scans. The team also develops the interactive algorithms in the workstation that an in-house team of experts use to review and correct the processed data. Because HeartFlow stores all the received CTA scans together with the reviewed and corrected annotations it has access to an unprecedented amount of annotated medical image data. This allows HeartFlow’s Image Analysis team to develop ground-breaking Machine Learning technology to further improve the HeartFlow Analysis and explore exciting new products.

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