Boston Children’s Hospital, Boston, MA

Harvard Medical School 

Join the forefront of healthcare innovation at Harvard and Boston Children’s Hospital, where informatics, computation, and artificial intelligence (AI) are transforming care delivery and biomedical science.

The Computational Health Informatics Program (CHIP) at Boston Children’s Hospital, an affiliate of Harvard Medical School and a collaborating program of its Department of Biomedical Informatics, is recruiting research faculty at the Instructor, Assistant or Associate Professor levels. We are seeking candidates who are passionate about advancing AI and data science to solve real-world clinical and biomedical challenges.

We invite outstanding researchers to establish their independent research programs, working at the interface of diverse data types—from clinical, epidemiological, and environmental data to molecular and genomic data. Successful candidates will apply AI to drive innovation in areas such as clinical decision-making, predictive medicine, precision health, and population health management. We are especially interested in candidates whose research advances the integration of computational methods in clinical practice, bridging the gap between AI innovation and its practical application in improving patient care, safety, and outcomes across diverse healthcare settings.

CHIP, founded in 1994, is a multidisciplinary applied research and education program that has become a leader in biomedical informatics. Our research spans the design of information infrastructure for clinical decision-making, public health management, and the development of AI and data science methods to improve healthcare outcomes. CHIP faculty come from diverse backgrounds, including medicine, data science, computer science, and epidemiology, and our research agenda covers persons of all ages, with particular strengths in pediatric research.

CHIP is located in beautiful, newly-designed space at 401 Park Drive, in the heart of the Fenway neighborhood of Boston, and surrounded by wonderful dining, entertainment, and sports.

Qualifications

Candidates at the Instructor or Assistant Professor level should demonstrate a strong quantitative background and a history of innovative approaches to biomedical inquiry or the application of computational methods in medicine. Those applying for Associate Professor must demonstrate not only these qualities but also leadership in the field, with a proven ability to sustain impactful, independent research programs with a strong history of independent, peer reviewed funding.

 All qualified applicants must hold a doctoral degree (MD, PhD, MD/PhD, or equivalent), have a strong record of publishing, and exhibit a commitment to interdisciplinary collaboration. Faculty are expected to teach, mentor, and secure independent funding to support their research.

Boston Children’s Hospital strongly encourages women and minorities underrepresented in medicine to apply for this position. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

About Boston Children's Hospital - Computational Health Informatics Program

The Computational Health Informatics Program (CHIP) at Boston Children’s Hospital, affiliated with Harvard Medical School (HMS), is a leader in biomedical informatics. Founded in 1994, CHIP is uniquely embedded within a leading pediatric hospital, offering exceptional opportunities for collaboration with clinical leaders and direct access to vast clinical, genomic, and population-level datasets. These resources enable CHIP to develop innovative solutions that address real-world clinical challenges and enhance patient outcomes. CHIP operates at the intersection of medicine, public health, and computation, driving the transformation of care delivery. Our multidisciplinary team, composed of experts in medicine, computer science, data science, and epidemiology, focuses on solving complex healthcare challenges across all ages, with particular expertise in pediatrics. Through early and sustained interventions in patient-centered information technology, CHIP has helped to redefine how health data is leveraged to empower patients and families and improve their care experiences. CHIP has a longstanding focus on natural language processing and large language models , applying these tec...hnologies to extract meaningful insights from clinical text and improve healthcare delivery and public health. This work, along with the application of artificial intelligence (AI) and data science, supports clinical decision-making, predictive medicine, precision health, and population health management. CHIP develops technology for AI-driven solutions for point-of-care decision-making, integrating real-time data streams to enhance clinician workflows and provide actionable insights at the bedside, helping to bridge the gap between technology and its practical application to improve patient care, safety, and outcomes across diverse healthcare settings. Our faculty and trainees are active at the border of informatics and regulatory science, particularly in the areas of electronic health records and postmarket surveillance. We prepare the next generation of leaders in computational health and biomedical informatics through interdisciplinary education and mentorship at all levels, including masters, PhD (including the HMS Department of Biomedical Informatics AI in Medicine PhD Track), and postdoctoral education. Committed to the principles of open science—embracing open source, open standards, and open specifications—CHIP ensures its innovations are widely adopted across healthcare and public health systems. Our research advances public health management, precision health, and predictive medicine by integrating real-world evidence, and building robust infrastructures for clinical decision-making and population health. The Genomic Information Commons, a collaborative initiative founded by CHIP, brings together clinical, genomic, and phenotypic data from leading children’s hospitals. It supports large-scale genomic research, fosters gene discovery, and facilitates personalized treatments for rare and complex diseases. These extensive collaborations across pediatrics and other clinical specialties shape the future of healthcare. Graduates of CHIP’s training programs hold leadership positions in academia and industry, both nationally and globally, reflecting CHIP’s broad influence in the field of biomedical informatics. As CHIP continues advancing AI and data science into real-world healthcare, the program remains focused on delivering innovations that improve patient care and health outcomes on a global scale.

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