Visiting Scientist

About the role

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 Scientist 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.

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

Pay

Pay Range: $155,002.00 USD - $184,995.00 USD (annual base salary range). Actual compensation determined based on seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.