Transforming the diagnosis and management of coronary artery disease worldwide
Research Scientist - Physiology and Computational Fluid Dynamics
This position is for a scientist working in HeartFlow’s CFD Research team whose primary responsibility will be to research, design, develop, test and deploy cutting-edge computational algorithms for modeling blood flow and related technologies. The scientist will tackle exciting problems that can include topics such as reduced order modeling, patient-specific physiological modeling, perfusion simulation, advection-diffusion modeling, sensitivity analysis and uncertainty quantification. The scientist will have access to the vast amount of HeartFlow’s non-invasive and invasive data for data driven approaches to HeartFlow’s physiology and fluid dynamics challenges.
- Implement highly accurate reduced order modeling algorithms for efficient fluid simulation.
- Develop and implement methods to enable uncertainty quantification in coronary flow analyses.
- Assist with the implementation of new computational methods including plaque traction force analysis, advection-diffusion equations for contrast simulation and improved outflow boundary conditions.
- Support clinical studies with CFD and physiology expertise.
- Assist with the development of feedback control algorithms and tuning capabilities to more accurately model pulsatile flow during adenosine-induced hyperemia and exercise.
- Assist with the development of new modeling capabilities for carotid artery disease, renal artery disease, peripheral artery disease.
- Assist with the development of FSI methods for assessing vulnerability of coronary and carotid plaques for rupture.
You have experience in the following:
- Computational Fluid Dynamics
- Reduced Order Modeling
- Coronary Physiology
- Uncertainty modeling
- Statistics and Machine Learning
- Python (advanced programming)
- C++ (knowledgeable)
You are passionate about:
- Solving critical 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 software company
- Cardiovascular disease
- Advanced Machine Learning, Deep Learning and Computer Vision
- High-performance and scalable computing
- Cloud computing
Educational Requirements & Work Experience:
- PhD in Engineering, Computer Science, Math or related field with a focus on Computational Fluid Dynamics is a must
- A minimum of 2 years post-PhD work experience is desirable
- Publication record in high-impact engineering, computer science, math and/or computational physics journals or conferences is highly desirable
Medical / dental / health (90% of premium paid by heartflow)
Pre-ipo stock options to all employees
Free snacks and drinks and subsidized healthy food
Paid gym membership to pacific shores club, a 38,000 sq. ft. world-class on-site facility that includes fitness classes, personal training, rock climbing wall, a full-service day spa, and a full size pool, basketball court, and sand volleyball court
Friday run/walk program – get fit, socialize and earn rewards
Free shuttle to/from redwood city caltrain station
Up to $75/month for bike, bus, rail, ferry, or vanpool expenses
Flexible spending accounts
Lounge featuring collaboration space, pinball, foosball, and ping pong
HeartFlow at a glance
HeartFlow focuses on Biotechnology, Healthcare, Medical, Diagnostics, and Emergency Medical Services. Their company has offices in Austin, Portland, London, Redwood City, and Tokyo. They have a large team that's between 201-500 employees. To date, HeartFlow has raised $577.707M of funding; their latest round was closed on June 2019.