Health Data Science & AI Postdoc Fellow

Johns Hopkins University

Baltimore (MD)

On-site

USD 65,000 - 75,000

Full time

14 days+

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Benefits offered by this job

Competitive salaries
Computing resources
Travel support
Other benefits

Job summary

Johns Hopkins University in Baltimore invites applications for Postdoctoral Fellow positions in data science and AI, focusing on developing and applying novel data science approaches to health and biomedical research.

The successful candidate will work with multiple faculty mentors in the Department of Biostatistics and potentially other departments, contributing to computational methods and AI in biomedicine, with competitive salaries and comprehensive benefits.

Qualifications

  • PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field.
  • Strong methodological and computational skills.
  • Demonstrated interest or experience in health-related applications of statistical or data science methods.
  • Strong written and oral communication skills.
  • Ability to work collaboratively with interdisciplinary teams.

Responsibilities

  • Developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research.
  • Collaborate with multiple faculty mentors and potentially from other departments on data science and AI topics for health applications.
  • Contribute to the Data Science and AI institute initiatives and related university-wide efforts.

Skills

Strong methodological and computa t i
Interdisciplinary collaboration

Education

PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field

Job description

Johns Hopkins University in Baltimore invites applications for Postdoctoral Fellow positions in data science and AI, focusing on developing and applying novel data science approaches to health and biomedical research.

The successful candidate will work with multiple faculty mentors in the Department of Biostatistics and potentially other departments, contributing to computational methods and AI in biomedicine, with competitive salaries and comprehensive benefits.

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