Postdoctoral Research Fellow in AI for Medical Ultrasound Image Analysis

Boston College • Newton, MA

3d • $67,000 - $76,962 • Onsite

About The Position

The Biomedical Imaging and Instrumentation Lab in Boston College’s Department of Engineering is recruiting a Postdoctoral Research Fellow for an NIH R01-funded, multi-site study developing AI-enabled portable ultrasound methods to assess body composition and growth in preterm infants. The longitudinal study follows infants from birth through 24 months. The fellow will lead analytic and machine learning work, developing predictive models that combine ultrasound imaging with clinical and maternal data. The role involves collaboration with investigators at Brigham and Women’s Hospital, the University of Minnesota Masonic Children’s Hospital, Boston College’s Connell School of Nursing, and Boston College biostatisticians. The fellow will be co-mentored by Prof. Bryan Ranger and Dr. Yuan Yuan.

The fellow will take primary responsibility for analytic strategy and model development, contribute to the project’s evolving research aims, and mentor graduate and undergraduate researchers. The role offers opportunities to lead research and publish, present at conferences, contribute to proposals and grant management, and receive conference travel support. This is a full-time, one-year temporary appointment, renewable for additional years depending on performance and funding availability. The position is onsite, 35 hours per week, with a salary range of $67,000–$76,962 based on experience. The start date is as soon as possible, with flexibility for the right candidate.

Requirements

• Ph.D. in Computer Science, Biomedical Engineering, or a related field.
• Strong research background in machine learning, computer vision, or medical image analysis.
• Demonstrated research excellence through publications in relevant AI/ML or biomedical imaging venues.
• Excellent teamwork, communication, and mentoring skills, including genuine interest in mentoring undergraduate researchers.
• Ability to work effectively across engineering/computational and clinical disciplines.

Nice To Haves

• Experience working with clinical or healthcare data is preferred.
• Familiarity with longitudinal or multimodal data integration is a plus.

Responsibilities

• Lead data analysis and predictive modeling integrating ultrasound, clinical, and maternal data to develop and validate models for body composition and growth outcomes across two clinical sites.
• Apply AI/ML methods, including computer vision for real-time scan quality feedback, longitudinal trajectory modeling, and uncertainty quantification, in collaboration with the project biostatistician.
• Maintain reproducible, well-documented analysis pipelines and code for public release.
• Supervise and mentor graduate and undergraduate research students.
• Interpret results in the context of the study’s clinical aims and collaborate with clinical investigators to ensure rigor and clinical relevance.
• Contribute to manuscript preparation, conference presentations, and proposal development.

Benefits

• Tuition remission for employees.
• Tuition remission for eligible spouses and children.
• Medical, dental, and vision insurance.
• Low-cost life insurance.
• Eligibility for university-funded 401k and employer-sponsored 403b retirement plans.
• Paid holidays annually.
• Sick and vacation pay.
• Conference travel support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree