[Iefac.list] Data Scholar job posting at NIH in Office of Data Sci Strategy

[Julie L Swann]

In an infectious disease forum, I noticed a posting for data scholars to 
be hired at NIH. I wanted to let you know about it in case you wanted to 
share in your department or with your graduates. All of the information 
that I have is posted below.

Best,
Julie Swann
CIEADH Chair


*DATA Scholar, NIH Office of Data Science Strategy*

The National Institute of Allergy and Infectious Diseases (NIAID) is 
participating in the DATA Scholar program managed by the NIH Office of 
Data Science Strategy.
*Deadline Extended*: *June 8, 2022*. Applications are accepted via the 
program application portal 
<https://midasnetwork.us19.list-manage.com/track/click?u=3d2b0e15e7eba97963ea4f56c&id=467a0b1e24&e=e3ae24fa61>.**

US citizenship is not required. Remote work is possible from within the US.

NIAID Project: AI-Ready Data Ecosystems for Pandemic Preparedness 
<https://midasnetwork.us19.list-manage.com/track/click?u=3d2b0e15e7eba97963ea4f56c&id=f808af7e8a&e=e3ae24fa61>

NIAID seeks to appoint a DATA Scholar for two years with considerable 
experience in AI and knowledge representation methods to design and test 
a prototype knowledge graph to enable the use of AI for rapid 
information discovery and management during a pandemic response. The 
knowledge graph should include AI-ready information about a virus with 
pandemic potential selected from one of 20 virus families. The DATA 
Scholar will represent information from various public and NIAID 
internal data resources (e.g., /ImmPort, BRCs, IEDP, GenBank, dbGaP, 
AnVIL, PDB, UniProt, clinical and epidemiological data, published 
literature) /into an AI-ready (FAIR) format/. /The aim of the project is 
to explore the potential of AI for automating knowledge discovery for 
pandemic preparedness and address the major challenge of rapidly 
studying newly emerging pathogens during the acute phase of an outbreak.

The NIAID DATA Scholar will work together with colleagues in the NIAID 
Office of Data Science and Emerging Technologies (ODSET) and the Office 
of Cyber Infrastructure and Computational Biology (OCICB) under 
supervision of the ODSET Director, Dr. Wilbert van Panhuis, MD, PhD 
<https://midasnetwork.us19.list-manage.com/track/click?u=3d2b0e15e7eba97963ea4f56c&id=45358230ee&e=e3ae24fa61>. 


Applicants should have an M.D., Ph.D. or equivalent doctoral degree, and 
have advanced experience in data science or related fields. There is no 
citizenship requirement for applicants and NIH offers competitive 
benefits, telework options, and flexible alternative work schedules. For 
more information about eligibility and benefits, se


Julie Swann, Ph.D.
CIEADH Chair
A. Doug Allison Distinguished Professor and Department Head
Fitts Department of Industrial and Systems Engineering
North Carolina State University
Affiliate/Adjunct in Biomedical Engineering (NC State/UNC Chapel Hill)
jlswann at ncsu.edu
(she/her/hers)
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