Research Scientist at HeartFlow

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical TechnologyIndustries

Requirements

PhD degree in computer science, engineering, math or similar technical field
1+ 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

Skills

Key technologies and capabilities for this role

Deep LearningComputer VisionMachine LearningMedical Image Analysis3D Medical ImagingVolumetric ImagingAI Algorithms

Questions & Answers

Common questions about this position

What are the required skills for the Research Scientist position?

Candidates need a strong understanding and proven track-record in machine learning, deep learning, generative modeling, computer vision and/or medical image analysis, proficiency in Python with PyTorch experience (preferably also C++), ability to independently identify project research requirements and design solutions, and ability to clearly communicate complex ideas to diverse audiences. Experience working on large-scale complex and/or scientific applications is also required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this Research Scientist position remote or does it require office work?

This information is not specified in the job description.

What does the team structure look like at HeartFlow?

You will work closely with cross-functional teams including Engineering, Clinical, Regulatory, Product and Program Management to deploy product-grade ML models, and collaborate with the research and software development teams.

What makes a strong candidate for this Research Scientist role?

A strong candidate will have the ability to independently identify project research requirements and design solutions, a proven track-record in machine learning and computer vision, proficiency in Python and PyTorch, and experience with large-scale applications, along with strong communication skills.

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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