Postdoctoral Fellowship in AI and Large Language Models for Transforming Pediatric Healthcare Job at Boston Children’s Hospital - Computational Health Informatic..., Boston, MA

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  • Boston Children’s Hospital - Computational Health Informatic...
  • Boston, MA

Job Description

Postdoctoral Fellowship in AI and Large Language Models for Transforming Pediatric Healthcare

The Computational Health Informatics Program (CHIP) at Boston Children's Hospital, affiliated with Harvard Medical School, invites applications for an enterprising postdoctoral fellow to advance transformative Artificial Intelligence and Large Language Model solutions in pediatric healthcare.

The fellow will collaborate directly with an interdisciplinary team to develop and implement innovative AI-driven applications designed to significantly enhance pediatric care delivery, patient outcomes, and translational research. This unique position provides exceptional opportunities to leverage real-world healthcare data and cutting-edge AI technologies alongside leading clinical medicine, genomics, and informatics experts.

Requirements:

  • MD or PhD or equivalent degree in Computer Science, Biomedical Informatics, AI, or related fields.
  • Exceptional publication record demonstrating expertise in AI, particularly in real world applications of LLMs in healthcare.
  • Demonstrated experience in the science of implementing and evaluating AI systems in clinical practice.
  • U.S. citizenship or permanent residency required (due to funding restrictions).

Preferred Qualifications:

  • Experience in the science of deploying AI within clinical environments.

Interested candidates should submit a cover letter, research plan, and CV. Three current letters of reference, addressed to Dr. Kenneth D. Mandl, should be sent directly by the letter writers or via a dossier service (e.g., Interfolio) to: 

contact “dot” chip “at” childrens.harvard.edu

Deadline: June 5, 2025

For more information, visit:

Boston Children’s Hospital is an equal opportunity employer that strongly encourages women and underrepresented minorities candidates to apply for positions at our institution.

Job Tags

Permanent employment, Full time, Fixed term contract,

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