Staff Scientist, Cardiovascular MRI & AI Imaging

Beth Israel Lahey Health, Inc.; Northern (KY); Hybrid; USD 60,000 - 150,000; Full time

Job summary

Beth Israel Lahey Health seeks a Staff Scientist to develop and apply advanced MRI techniques for cardiovascular imaging, under Prof. Reza Nezafat.

You will design, implement, and validate MRI pulse sequences and image acquisition strategies, focusing on quantitative MRI methods. The role involves integrating AI methods, collaborating with clinicians and engineers, supporting NIH translational research, and utilizing a state-of-the-art 3T Siemens system with NVIDIA GPUs to push toward clinical

Qualifications

• PhD multi-field in medical physics or related area.
• 0-1 years related work experience; 1 year supervisory/management experience.
• Advanced technical computer skills for MRI systems and software.
• Experience in pulse sequence programming on major MRI vendor platforms.
• 3+ years MRI research focusing on technical development.
• Strong publication record in imaging journals.

Responsibilities

• Research and develop novel MRI pulse sequences for cardiovascular applications.
• Develop AI-assisted MRI reconstruction and image enhancement methods.
• Perform imaging experiments on a 3T Siemens system to evaluate performance.

Skills

Pulse sequence programming

MRI reconstruction

Quantitative MRI

Deep learning in MRI

Machine learning workflows

Education

PhD in Medical Physics

PhD in Biomedical Engineering

PhD in Computer Science

PhD in Electrical Engineering

Tools

Siemens MRI platform

GE/Philips/UIM platforms

Job description

Beth Israel Lahey Health seeks a Staff Scientist to develop and apply advanced MRI techniques for cardiovascular imaging, under Prof. Reza Nezafat.

You will design, implement, and validate MRI pulse sequences and image acquisition strategies, focusing on quantitative MRI methods. The role involves integrating AI methods, collaborating with clinicians and engineers, supporting NIH translational research, and utilizing a state-of-the-art 3T Siemens system with NVIDIA GPUs to push toward clinical