Senior Research Scientist at HeartFlow

California, United States

HeartFlow Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Medical TechnologyIndustries

Requirements

  • PhD degree in computer science, engineering, math or similar technical field
  • 4+ years related experience in Machine Learning, Computer Vision, Image Analysis, Deep Learning or related field in academia and/or industry
  • Ability to independently identify project research requirements and design solutions
  • Ability to clearly communicate complex ideas, tailoring content for diverse audiences
  • Strong understanding and proven track-record in machine learning, deep learning, generative modeling, computer vision and/or medical image analysis
  • Experience working on large-scale complex and/or scientific applications
  • Proficient in Python with PyTorch experience, and preferably also C++
  • Desirable Skills
  • Training deep learning models at scale on the cloud
  • Developing deep learning models for FDA-regulated SaMD products
  • Experience building deep learning models for 3D computed tomography data

Responsibilities

  • Solve cutting-edge scientific and technical challenges related to doing machine learning (deep learning) with a large amount of volumetric images
  • Implement and advance on the latest research from the computer vision/machine learning literature to solve meaningful problems
  • Take intellectual ownership and specific lead responsibility related to research, design, development and testing of Machine Learning and Image Analysis algorithms
  • Work closely with cross-functional teams including Engineering, Clinical, Regulatory, Product and Program Management to deploy product-grade ML models
  • Educate people across groups and departments on ML and Image Analysis topics
  • Publish cutting edge research and keep up-to-date on latest research trends
  • Lead the development and evaluation of problems in Machine Learning and Medical Image Analysis, with a focus on deep learning computer vision models trained on large datasets of 3D medical image data
  • Work closely with the research and software development teams to develop new algorithms

Skills

Machine Learning
Deep Learning
Computer Vision
Medical Image Analysis
3D Medical Imaging
Volumetric Imaging

HeartFlow

Non-invasive cardiac testing for heart disease

About HeartFlow

HeartFlow provides a non-invasive cardiac test that helps visualize a patient's coronary arteries in detail. This technology allows physicians to diagnose and treat heart disease more effectively without the need for invasive procedures, which reduces risks for patients and costs for healthcare providers. HeartFlow's main clients are healthcare professionals seeking safer diagnostic methods. The company offers several analyses, including FFRCT Analysis and Plaque Analysis, all of which have received FDA clearance and are available in multiple countries, including the United States, the United Kingdom, Japan, and Canada. Unlike many competitors, HeartFlow focuses on providing a comprehensive suite of analyses that enhance treatment planning. The goal of HeartFlow is to improve cardiovascular care by making it safer and more efficient for both patients and healthcare providers.

Redwood City, CaliforniaHeadquarters
2010Year Founded
$858.5MTotal Funding
SERIES_FCompany Stage
HealthcareIndustries
501-1,000Employees

Benefits

Remote Work Options
Stock Options
401(k) Company Match

Risks

Emerging AI-driven competitors could threaten HeartFlow's market share.
Algorithmic bias in AI models could lead to inaccurate diagnoses.
Integration into healthcare systems may face resistance due to complexity and cost.

Differentiation

HeartFlow offers the only combined anatomy, physiology, and plaque analysis for heart disease.
HeartFlow's non-invasive FFRCT Analysis is FDA-cleared and widely available globally.
HeartFlow's AI-driven technology provides personalized 3D heart models for precise diagnostics.

Upsides

HeartFlow closed a $215 million Series F funding round in April 2023.
The global non-invasive cardiac imaging market is projected to grow significantly.
HeartFlow's technology aligns with the trend towards value-based care in healthcare.

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