Machine Learning/Artificial Intelligence Scientist- Cardiovascular MRI

Tuesday 28th February 2023

Organization Harvard Medical School
Location Boston, MA
Title Machine Learning/Artificial Intelligence Scientist- Cardiovascular MRI
Email Address
Description Aug 1, 2023
Job Summary: Cardiovascular MR Center at Beth Israel Deaconess Medical Center and Harvard Medical School has an exciting opportunity to join our team as a Machine Learning and Artificial Intelligence Scientist. You will be part of an interdisciplinary team of imaging scientists, AI scientists, and cardiologists to develop next-generation cardiovascular MR technologies. As an ML/AI scientist, you will lead technical projects in imaging technology and be responsible for creating project plans and implementing and evaluating new ML/AI algorithms. You will also work closely with our industrial partner, Siemens Healthineers, to implement your new methods in clinical MRI systems.
The position is offered for two years and may be extended based on satisfactory performance and availability of funds.
The salary range for the position is $60,000 – $125,000 Annually. Actual salaries depend on experience and education.
Primary Responsibilities:
• As an ML/AI scientist, you will collaborate with other group members to design and develop innovative AI/ML tools to improve the imaging of cardiovascular disease with a focus on MRI data acquisition, reconstruction, and analysis.
• Develop novel AI/ML tools to improve our ability to predict adverse outcomes in patients with cardiovascular disease by integrating multi-modality data, including cardiac imaging.
• Collaborate with scientists with our industry partner, Siemens Healthineers, to implement and integrate our AI/ML models into clinical MRI scanners.
• Provide technical guidance to lab members on projects at the intersection of engineering, radiology, and cardiology.
• Conduct research in state-of-the-art deep learning models focusing on cardiac imaging and publish your novel finding.
Required Qualifications:
• MS/Ph.D. degree in computer science, electrical engineering, or biomedical engineering with a focus on AI
• 3-5 years of related work experience in academia or industry
• Excellent coding skills in C++ and Python. Skills and ability to quickly prototype in Python are a must.
• Strong hands-on experience with deep learning tools (e.g., PyTorch or TensorFlow-Keras).
• Documented history of completed software projects (e.g., GitHub)
• Familiar with model ML/AL algorithms (e.g., Transformers, Diffusion Models)
• Track record of peer-reviewed publications in AI/ML with at least one first-author peer-reviewed publication
• Strong hands-on experience in computer vision, signal processing, and medical imaging
• Proficiency with medical imaging libraries like PyDicom, ITK, Open CV, and HDF5 format is a plus.
• Strong communication and writing skills.