Position Title: Staff Scientist I - Imaging AI

Beth Israel Lahey Health•Boston, MA

29d

About The Position

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives. We are seeking a highly motivated Staff Scientist I with expertise in artificial intelligence (AI), machine learning, and magnetic resonance imaging (MRI) to support and advance cutting-edge translational research in cardiovascular imaging. The successful candidate will play a central role in the development, validation, and deployment of AI-enabled methods, with emphasis on cardiac MRI (CMR), quantitative imaging, and diagnostic and prognostic applications. This position is ideal for a PhD scientist who enjoys hands-on technical development, close collaboration with clinicians, engineers, and industry partners, and contributing to NIH-funded, multi-center research programs, including active collaborations with Siemens Healthineers, with clear pathways toward clinical translation and impact. Key Responsibilities: AI & Imaging Research • Develop and implement deep learning models for MRI reconstruction, segmentation, quantification, and image enhancement • Design, optimize, and evaluate AI pipelines to improve image acquisition efficiency, image quality, and robustness • Integrate AI methods with quantitative CMR imaging biomarkers, including myocardial blood flow, strain, and tissue characterization • Develop and apply methods for multi-modality data integration, combining imaging, physiologic signals (e.g., ECG), genetic, and clinical data for diagnostic and prognostic modeling • Perform rigorous model validation, including reproducibility testing, bias assessment, and external validation • Design, develop, and implement user-friendly software platforms for clinical deployment of AI-enabled imaging tools Scientific Leadership • Serve as a technical lead on funded research projects (NIH R01s, industry collaborations) • Contribute to study design, statistical analysis plans, and imaging endpoints • Lead or co-author high-impact manuscripts, abstracts, and grant submissions • Mentor trainees (PhD students, postdocs, research staff) Data & Infrastructure • Build and maintain scalable AI/MRI pipelines (Python, PyTorch/TensorFlow, etc.) • Work with large-scale imaging datasets and HPC/GPU environments (H200s GPUs) • Collaborate on data harmonization, curation, and governance across multi-site studies Translational & Collaborative Work • Partner closely with cardiologists, radiologists, MR physicists, and industry collaborators • Support translation of AI tools toward clinical feasibility and regulatory readiness • Present work at national and international scientific meetings Required Qualifications • PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Medical Physics, or related field • Strong background in machine learning / deep learning / computer vision • Demonstrated experience with MRI or medical imaging data • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) • Track record of peer-reviewed publications in imaging or AI-related fields Preferred Qualifications: • Experience in cardiac MRI • Familiarity with MRI physics, image reconstruction, or quantitative perfusion/flow • Experience with generative models (diffusion models, super-resolution, image synthesis) • Prior involvement in NIH-funded research or multi-center studies • Interest in clinical translation and real-world deployment Job Description: Essential Responsibilities: Conducts research in area of specialty. Has the authority to direct and support managers with functional area responsibilities. Has the direct responsibility to undertake the following employment actions: hiring, termination, corrective action and performance reviews. Has full responsibility for planning, monitoring and managing department budget. Direct Reports: None Indirect Reports: None Required Qualifications - Ph.D. and/or Medical Degree required. - 0-1 years related work experience required, including, 1 year of supervisory/management experience required. - Advanced technical computer skills as required for technical support specific to functional area and related systems. Competencies: Written Communications: Ability to communicate complex information in English effectively in writing to all levels of staff, management and external customers across functional areas. Oral Communications: Ability to verbally communicate complex concepts in English and address sensitive situations, resolve conflicts, negotiate, motivate and persuade others. Knowledge: Ability to demonstrate broad and comprehensive knowledge of theories, concepts, practices and policies with the ability to use them in complex and/or unprecedented situations across multiple functional areas. Teamwork: Ability to lead and direct multiple collaborative teams for large projects or groups both internal and external to the Medical Center and across functional areas. Results have significant implications for the management and operations of the organization. Customer Service: Ability to lead operational initiatives to meet or exceed customer service standards and expectations in assigned unit(s) and/or across multiple areas in a timely and respectful manner. Physical Nature of the Job: Light work: Exerting up to 20 pounds of force frequently to move objects. Some elements of the job are sedentary, but the employee will be required to stand for periods of time or move throughout the hospital campus.

Requirements

PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Medical Physics, or related field
Strong background in machine learning / deep learning / computer vision
Demonstrated experience with MRI or medical imaging data
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
Track record of peer-reviewed publications in imaging or AI-related fields
Ph.D. and/or Medical Degree required.
0-1 years related work experience required, including, 1 year of supervisory/management experience required.
Advanced technical computer skills as required for technical support specific to functional area and related systems.
Ability to communicate complex information in English effectively in writing to all levels of staff, management and external customers across functional areas.
Ability to verbally communicate complex concepts in English and address sensitive situations, resolve conflicts, negotiate, motivate and persuade others.
Ability to demonstrate broad and comprehensive knowledge of theories, concepts, practices and policies with the ability to use them in complex and/or unprecedented situations across multiple functional areas.
Ability to lead and direct multiple collaborative teams for large projects or groups both internal and external to the Medical Center and across functional areas. Results have significant implications for the management and operations of the organization.
Ability to lead operational initiatives to meet or exceed customer service standards and expectations in assigned unit(s) and/or across multiple areas in a timely and respectful manner.

Nice To Haves

Experience in cardiac MRI
Familiarity with MRI physics, image reconstruction, or quantitative perfusion/flow
Experience with generative models (diffusion models, super-resolution, image synthesis)
Prior involvement in NIH-funded research or multi-center studies
Interest in clinical translation and real-world deployment

Responsibilities

Develop and implement deep learning models for MRI reconstruction, segmentation, quantification, and image enhancement
Design, optimize, and evaluate AI pipelines to improve image acquisition efficiency, image quality, and robustness
Integrate AI methods with quantitative CMR imaging biomarkers, including myocardial blood flow, strain, and tissue characterization
Develop and apply methods for multi-modality data integration, combining imaging, physiologic signals (e.g., ECG), genetic, and clinical data for diagnostic and prognostic modeling
Perform rigorous model validation, including reproducibility testing, bias assessment, and external validation
Design, develop, and implement user-friendly software platforms for clinical deployment of AI-enabled imaging tools
Serve as a technical lead on funded research projects (NIH R01s, industry collaborations)
Contribute to study design, statistical analysis plans, and imaging endpoints
Lead or co-author high-impact manuscripts, abstracts, and grant submissions
Mentor trainees (PhD students, postdocs, research staff)
Build and maintain scalable AI/MRI pipelines (Python, PyTorch/TensorFlow, etc.)
Work with large-scale imaging datasets and HPC/GPU environments (H200s GPUs)
Collaborate on data harmonization, curation, and governance across multi-site studies
Partner closely with cardiologists, radiologists, MR physicists, and industry collaborators
Support translation of AI tools toward clinical feasibility and regulatory readiness
Present work at national and international scientific meetings
Conducts research in area of specialty.
Has the authority to direct and support managers with functional area responsibilities.
Has the direct responsibility to undertake the following employment actions: hiring, termination, corrective action and performance reviews.
Has full responsibility for planning, monitoring and managing department budget.