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Oak Ridge Institute for Science and Education (ORISE) at Bethesda, MD, with remote option in surrounding areas, invites recent post-baccalaureates to a STEM-focused fellowship in healthcare data analysis and modeling for NIH ODSS.
The program offers practical experiences in data standards, interoperability, and clinical informatics. Applicants should have strong CS knowledge (R/Python, AI/ML) and organizational skills.
Organization
Oak Ridge Institute for Science and Education (ORISE), Bethesda, MD and surrounding area (remote)
The National Institutes of Health (NIH) Office of Data Science Strategy (ODSS) is seeking recent Post-Baccalaureates to apply to a STEM-focused hands-on learning experience centered on healthcare data analysis and modeling.
ODSS leads the implementation of the NIH Strategic Plan for Data Science at NIH. This fellowship offers opportunity for practical experiences in developing data standards, launching research initiatives, and exploring the role of clinical informatics in biomedical research. Candidates with foundational knowledge in computer science (including advanced R/Python programming and AI/ML techniques), clinical informatics, and strong organizational skills are encouraged to apply.
Through this immersive learning opportunity, participants will:
By the end of the fellowship, participants will have gained and understanding of how NIH maintains documentation for reproducibility, manages standard operating procedures (SOPs), and coordinates data collected in alignment with agency policies and procedures.
The qualified candidate must be 18 years or older at the time of application and should have received a Bachelor's degree in one of the relevant fields. The degree must have been received within the last five years of the appointment start date.
Current graduate students who are nearing degree completion may apply but must have completed their degrees by the start of the fellowship.
Citizenship Requirements: This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page for information about the valid immigration statuses that are acceptable for program participation.