Research Fellow / Research Scientist Generative AI, Vision-Language Models, and Medical Image Analysis

Thursday 2nd July 2026

Contact Email for the Job Positing: sila.kurugol@childrens.harvard.edu
Organization: Harvard Medical School and Boston Children's Hospital
Location: Boston, USA
Title: Research Fellow / Research Scientist Generative AI, Vision-Language Models, and Medical Image Analysis
URL: https://labs.childrenshospital.org/files/quin/files/documents/quin_ai_job_ad_bch_hms.pdf
Closing date: October 1, 2026 
Description:

Research Fellow / Research Scientist @Harvard: Generative AI, Vision-Language Models, and Medical Image Analysis

KEY RESPONSIBILITIES

• Develop AI pipelines for clinical text, radiology reports, electronic health record data, and medical images.
• Work with LLMs, vision-language models, multimodal models, and generative AI tools for healthcare applications.
• Run, adapt, and improve existing code for clinical NLP, LLM-based information extraction, and medical image analysis.
  
• Develop algorithms for segmentation, object detection, weak labeling, annotation-efficient learning, and multimodal disease characterization.
  
• Validate AI outputs against expert clinician annotations and clinically relevant reference standards.
• Prepare analyses, figures, manuscripts, abstracts, grant reports, progress reports, and future grant applications.
  
• Maintain reproducible code and documentation suitable for internal use and open-source release where appropriate.

IDEAL CANDIDATE

• Technically strong, highly motivated, and genuinely interested in learning. Good track record of publications.
• Able to take ownership of active projects and move them toward publication, grant deliverables, and clinical translation.
• Well suited for a recent Master’s graduate, PhD graduate, or postdoctoral researcher with strong AI/ML skills.

REQUIRED QUALIFICATIONS

• Master’s degree, PhD, or equivalent experience in computer science, biomedical engineering, electrical engineering, data science, medical informatics, computational imaging, or a related field.
• Strong programming skills in Python.
• Experience with machine learning or deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, MONAI, or similar tools.
  
• Strong interest in generative AI, vision-language models, LLMs, medical image analysis, and clinical AI.
  
• Ability to work independently and collaborate closely with clinicians and technical team members.
  
• Excellent organizational and communication skills.

PREFERRED EXPERIENCE

• LLMs, vision-language models, prompt engineering, retrieval-augmented generation, clinical NLP, or structured information extraction.
• Medical image analysis, including segmentation, object detection, registration, image classification, weak supervision, or foundation models.
  

RESEARCH ENVIRONMENT AND HOW TO APPLY
QUINlab’s mission is to transform diagnosis and treatment through intelligent imaging and analysis. We are based at Boston Children’s Hospital, ranked #1 pediatric hospital in the U.S., and affiliated with Harvard Medical School, ranked #1 medical school nationally. Boston is a global hub for biomedical innovation, home to Harvard, MIT, Boston University, Northeastern, world-class hospitals, and a thriving biotech and pharma ecosystem. The opportunities for cross-training, collaboration, and networking are unparalleled. Beyond research, Boston consistently ranks among the top U.S. cities for quality of life, health, and happiness.

The candidate will join a collaborative research environment at Boston Children’s Hospital and Harvard Medical School, working at the interface of artificial intelligence, medical imaging, clinical LLMs, multimodal learning, and pediatric medicine. Interested candidates should send a CV, a brief statement of research interests, and examples of relevant code, publications, or projects to: sila.kurugol@childrens.harvard.edu