Renowned Researcher in AI-Driven Biomedical Informatics

6 days ago


Étreux, Hauts-de-France, United States Boston Children's Hospital Full time

Transforming Healthcare Outcomes with Artificial Intelligence

About the Opportunity:

We are seeking an exceptional researcher to join our 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. As a research faculty member, you will have the opportunity to establish your independent research program, working at the intersection of diverse data types from clinical, epidemiological, and environmental data to molecular and genomic data.

Your Expertise in AI Will Drive Innovation in:

  • Clinical Decision-Making: Apply machine learning algorithms to improve diagnosis and treatment strategies
  • Predictive Medicine: Develop predictive models to forecast disease outcomes and patient responses
  • Precision Health: Utilize genomics and phenomics to tailor medical interventions to individual patients
  • Population Health Management: Analyze large datasets to identify trends and patterns in healthcare delivery

About Us:

Boston Children's Hospital is a leader in biomedical informatics, designing information infrastructure for clinical decision-making, public health management, and developing AI and data science methods to improve healthcare outcomes. Our multidisciplinary team includes researchers from medicine, data science, computer science, and epidemiology, covering various areas of study, including pediatric research.

Qualifications:

To be successful in this role, you must possess a strong quantitative background, a history of innovative approaches to biomedical inquiry, and leadership experience for Associate Professor candidates. You should also hold a doctoral degree, have a proven track record of publishing, and demonstrate a commitment to interdisciplinary collaboration.

Estimated Salary Range: $120,000 - $180,000 per year, commensurate with experience



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