<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Tuesday 28th February 2023<br/><br/><strong>Organization</strong> Harvard Medical School<br/><br/><strong>Location</strong> Boston, MA<br/><br/><strong>Title</strong> Machine Learning/Artificial Intelligence Scientist- Cardiovascular MRI<br/><br/><strong>URL</strong> www.cardiacmr.hms.harvard.edu<br/><br/><strong>Email Address</strong> rnezafat@bidmc.harvard.edu<br/><br/><strong>Description</strong> Aug 1, 2023<br/><br/><strong>Job Summary:</strong> 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.<br/><br/>The position is offered for two years and may be extended based on satisfactory performance and availability of funds.<br/><br/>The salary range for the position is $60,000 – $125,000 Annually. Actual salaries depend on experience and education.<br/><br/><strong>Primary Responsibilities<br/><br/></strong><ul><li> 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.</li><li> 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.</li><li> Collaborate with scientists with our industry partner, Siemens Healthineers, to implement and integrate our AI/ML models into clinical MRI scanners.</li><li> Provide technical guidance to lab members on projects at the intersection of engineering, radiology, and cardiology.</li><li> Conduct research in state-of-the-art deep learning models focusing on cardiac imaging and publish your novel finding.<br/><br/></li></ul><strong>Required Qualifications<br/><br/></strong><ul><li> MS/Ph.D. degree in computer science, electrical engineering, or biomedical engineering with a focus on AI</li><li> 3-5 years of related work experience in academia or industry</li><li> Excellent coding skills in C++ and Python. Skills and ability to quickly prototype in Python are a must.</li><li> Strong hands-on experience with deep learning tools (e.g., PyTorch or TensorFlow-Keras).</li><li> Documented history of completed software projects (e.g., GitHub)</li><li> Familiar with model ML/AL algorithms (e.g., Transformers, Diffusion Models)</li><li> Track record of peer-reviewed publications in AI/ML with at least one first-author peer-reviewed publication</li><li> Strong hands-on experience in computer vision, signal processing, and medical imaging</li><li> Proficiency with medical imaging libraries like PyDicom, ITK, Open CV, and HDF5 format is a plus.</li><li> Strong communication and writing skills.</li></ul> </div>