Publisher
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Yale University

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Postgraduate Associate in Machine Learning and Medical Imaging for Liver Cancer Research Yale University in United States

Degree Level

not provided

Field of study

Computer Science

Funding

Compensation is $50,000 per year and includes a comprehensive benefits package with health and dental insurance, paid holidays, vacation time, and sick leave.

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Country

United States

University

Yale University

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Deep Learning
Biology
Cancer Research
Medical Science
Hepatocellular Carcinoma
Magnetic Resonance Imaging
Multimodal Analysis
ML

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About this position

Yale University’s Department of Radiology and Biomedical Imaging, School of Medicine, is offering a Postgraduate Associate research opportunity in the Interventional Oncology Research Lab in New Haven, Connecticut, United States.

The position sits at the intersection of machine learning, medical imaging, biomedical engineering, and cancer research, with a focus on computational methods for analyzing imaging and clinical data in patients with liver cancer. Research topics include machine learning and deep learning for medical imaging and clinical data, quantitative analysis of CT and MRI, multimodal and longitudinal data analysis, development and validation of imaging biomarkers, and translational research in interventional oncology.

This is described as a mentored academic research experience rather than a purely programming role. The trainee will participate in research projects, lab meetings, collaborations, publications, and scientific presentations within Yale’s academic environment. The lab notes a strong mentoring track record and encourages applicants who are academically curious, interested in publishing research, and considering future graduate or doctoral training, as well as those seeking advanced research experience before a career in medical technology.

Applicants should have a recent master’s degree in computer science, Biomedical Engineering, Data Science, or a related quantitative field. Prior industry experience is encouraged but not required, and prior experience with medical imaging or medical data is desirable but not required. International researchers are welcome, and J-1 visa sponsorship is available for eligible candidates.

Funding includes a salary of $50,000 per year plus a comprehensive benefits package covering health and dental insurance, paid holidays, vacation time, and sick leave. To apply, interested candidates should email a CV and letter of motivation to Dr. Julius Chapiro at [email protected].

Funding details

Compensation is $50,000 per year and includes a comprehensive benefits package with health and dental insurance, paid holidays, vacation time, and sick leave.

What's required

Recent master’s degree in computer science, Biomedical Engineering, Data Science, or a related quantitative field. Prior industry experience is strongly encouraged but not required. Prior experience with medical imaging or medical data is highly desirable but not required. International researchers are encouraged to apply; J-1 visa sponsorship is available for eligible candidates.

How to apply

Submit a CV and letter of motivation to Dr. Julius Chapiro by email at [email protected].

More information can be found here

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