Postdoctoral Research Fellow in AI for Medical Ultrasound Image Analysis

Boston College • Chestnut Hill, MA

17h • Onsite

About The Position

The Biomedical Imaging and Instrumentation Lab in Boston College’s Department of Engineering, led by Prof. Bryan Ranger, is recruiting a Postdoctoral Research Fellow for a multi-site NIH R01-funded project. The project is developing AI-enabled portable ultrasound methods to assess body composition and growth in preterm infants. The fellow will lead analytic and machine learning work in a longitudinal study following preterm infants from birth through 24 months, at the intersection of AI/ML, medical imaging, and clinical neonatal research.

The role involves developing predictive models that integrate ultrasound imaging with clinical and maternal data, in 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 Dr. Bryan Ranger and Dr. Yuan Yuan of Boston College Computer Science. The position includes opportunities to shape analytic strategy, mentor students, lead research and publications, attend conferences, and gain experience with proposal writing and grant management.

This is a full-time, one-year temporary appointment, renewable for additional years based on performance and funding availability. The position is onsite and is listed as 35 hours per week. Boston College hopes to fill it as soon as possible but is flexible about the specific start date.

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 a 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 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 advanced 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 spouses and children who meet eligibility requirements.
• Medical, dental, and vision insurance.
• Low-cost life insurance.
• Eligibility for university-funded 401(k) and employer-sponsored 403(b) retirement plans.
• Paid holidays annually.
• Sick and vacation pay.
• Support for conference travel.

What This Job Offers

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