EACE Data Science Fellowship

Organization
U.S. Department of Defense (DOD)
Reference Code
EACE-2026-0005
How to Apply

Click on Apply at the bottom of the opportunity to start your application.

Description

The Extremity Trauma & Amputation Center of Excellence (EACE) is a unique organization within the Department of War (DoW) consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities across the nation. In line with the congressionally directed mission of the EACE, the research efforts undertaken focus on the mitigation, treatment and rehabilitation of traumatic extremity injuries and amputations with a specific focus on translating their findings into clinical practice to improve the care of injured Service members and Veterans. EACE is seeking an eligible post-master's or post-doctoral candidate for this research opportunity.  

As the selected candidate and under the guidance of a mentor, you will have the opportunity to learn and gain experience in the development and execution of a portfolio of data science-based projects which are aimed at assessing the near- and long-term health outcomes for a cohort of Service members who have sustained traumatic extremity injuries. You will gain education and knowledge in the following areas:

• Participating in ongoing data science projects and initiatives that will provide exposure to various aspects of data science and its application to research projects within the DOW 
• Accessing medical information databases within the DoW, Department of Veterans Affairs, and/or the civilian sector.
• Collecting, processing, analyzing, and interpreting data.
• Conducting descriptive and inferential statistical analyses.
• Contributing to publications in peer-reviewed scientific journals.

Where will I be located?
This opportunity is 100% remote.
 
What is the anticipated start date?
EACE is ready to make appointments immediately. Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships or fellowships will be filled as qualified candidates are
identified.
 
What is the appointment length?
This appointment is a twelve-month research appointment, with the possibility to be renewed for additional research periods. Appointments may
be extended depending on funding availability, project assignment, program rules, and availability of the participant.
 
What are the provisions?
You will receive a stipend to be determined by EACE. Stipends are typically based on the participant’s academic standing, discipline,
experience and research facility location. Other provisions may include the following:

• Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE.
• Training and Travel Allowance

About EACE

The DoD and VA Extremity Trauma & Amputation Center of Excellence (EACE) consists of teams embedded at the point of care within multiple world renown Military Treatment Facilities across the nation. In-line with the congressionally directed mission of the EACE, our clinical team focuses on development of clinical outcomes assessment, clinical practice guidelines, and treatment protocols. We are developing a novel system for extremity trauma outcome measures tracking. We focus on traumatic extremity injuries and amputations with a specific focus on tracking outcomes for clinical assessment to improve the care of injured Service members and Veterans.

About ORISE

This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoW. Participants do not enter into an employee/ employer relationship with ORISE, ORAU, DoW or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of War .

Qualifications
The qualified candidate will have received a master's or doctoral degree from an accredited institution in data sciences, mathematics, statistics, biostatistics, public health, or a related field or will have a degree earned by December 31, 2026. Degree must have been received within five years of the appointment start date.
 
Highly competitive applicants will have education and/or experience in one or more of the following:

• Experience in the fields of data sciences, biostatistics, public health or a related field.

Application Requirements

A complete application consists of:

• Zintellect Profile
• Educational and Employment History
• Essay Questions (goals, experiences, and skills relevant to the opportunity)
• Resume (PDF)
• Transcripts/Academic Records - For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal institution systems may be submitted.  Click here for detailed information about acceptable transcripts .
• One recommendation

If you have questions, send an email to STEM-WORKFORCE@orise.orau.gov . Please list the reference code of this opportunity [EACE-2026-0005] in the subject line of the email. Please understand that ORISE does not review applications or select applicants; selections are made by the sponsoring agency identified on this opportunity. All application materials should be submitted via the “Apply” button at the bottom of this opportunity listing.  Please do not send application materials to the email address above.

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Stipend
$6,200.00 – $6,300.00 Monthly
Point of Contact
Brittany
Eligibility Requirements

• Citizenship: U.S. Citizen Only
• Degree: Master's Degree or Doctoral Degree received within the last 60 months or anticipated to be received by 12/31/2026 11:59:00 PM.
• Discipline(s):
  • Computer, Information, and Data Sciences (16 )
  • Life Health and Medical Sciences (45 )
  • Mathematics and Statistics (10 )

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