Visiting Scientist

Position Summary

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives.

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

A Visiting Scientist collaborate swith other researchers in their particular field of science.

Pay Range

$155,002.00 USD – $184,995.00 USD