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NBME

NBME VIRTUAL Summer Internship in Measurement and Data Science

On site

Philadelphia, United states

Internship

20-11-2025

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Skills

Python C# Test Research Research design Training Data Science Natural Language Processing

Job Specifications

Measurement and Data Science Internship

June 1 - July 24, 2026

NBME invites applications for multiple full-time internship positions, all fully remote, for the Summer of 2026. Over an 8-week period, interns will have the opportunity to collaborate with NBME staff and interact with fellow graduate students as they complete a research project. The expected deliverable is an internal research presentation. Specific projects for the summer of 2026 will be discussed with applicants as part of the interview process; examples of recent summer internship projects are listed below.

At NBME, we continue to innovate and improve how we fulfill the evolving needs of the health care community. This commitment starts and ends with the people at NBME. By recruiting and empowering talented individuals from various disciplines and backgrounds, which includes professionals with diverse life experiences, abilities, and perspectives, NBME can take a well-informed, robust approach to advancing medical education and assessment for years to come.

Compensation

Interns will be compensated at $48.64 per hour, amounting to a total stipend of $12,600 for full-time interns (35 hours per week).

Additionally, all interns are eligible to receive up to $1,000 to support their attendance at a conference. This is not conditional on presenting at the conference.

Requirements

Active enrollment in a doctoral program in measurement, statistics, computer science, cognitive science, educational psychology, I/0 psychology, medical education, or related field.

Completion of at least one year of your PhD program by Summer 2026.

Experience or coursework in one or more of the following: statistics, measurement theory, natural language processing, data science, data science, research design, IRT, and test development.

Working knowledge of statistical software (e.g., R, Python, C#).

Interns will be assigned to one or more mentors and must be able to work independently.

Must be authorized to work in the US for any employer. If selected, F-1 holders will need to apply for Curricular Practical Training authorization through their school's international student office and have a social security number for payroll purposes.

Must not have any competing employment throughout the duration of the internship.

Must be available between NBME core hours (10am-3pm Eastern Time).

Must be eligible to work June 1 - July 24, 2026. We are unable to shift the timeline of the internship program.

Application

Candidates may apply by going to https://nbme.applicantpro.com/jobs/. A current CV is required. Applications that include a cover letter outlining relevant experience and specific research programs or topics of interest will be given priority. When writing your cover letter, please highlight your specific role on projects / when working with faculty. It can be difficult to infer this information from short CV entries. Please help us learn more about your skills and interests!

Please note that the deadline for applications is Sunday, February 1, 2026, at midnight PST.

Applicants will be informed of the selection decisions on or before Friday, February 27, 2026.

NBME's mission is:

NBME advances assessment of health care professionals to achieve optimal care for all.

At NBME, we are dedicated to advancing the assessment of health care professionals to achieve optimal care for all. While centered on assessment of physicians, this mission encompasses the spectrum of health professionals along the continuum of education, training and practice and includes research in evaluation as well as development of assessment tools.

Realizing this mission requires several continuous large-scale research projects across multiple divisions at NBME. These research projects usually fall into one of the following categories:

Operational Research

This research supports NBME's current portfolio of assessments. Utilizing already defined capabilities and focusing on established constructs, this foundational programmatic research improves our existing measurement capabilities or gathers validity evidence for our assessments.

Example projects:

Evaluation of Scoring Models for a New Assessment Format

Testing Security: Problems and Possible Solutions

Using Process Data to Improve Examinee Ability Estimation Precision

The Utility of Nonfunctioning Distractors for Credentialing Tests

Modeling the Conditions That Influence Response Time and Performance

Examining USMLE Step 1 Feature Usage: A Response Process Validity Study

The Association between USMLE Step 2 CK Scores and Patient Mortality: A Validity Study

Capabilities Research

This research advances NBME's abilities to develop deeper insights into assessment performance and examinee behavior, while improving processes for test development and evaluation. NBME has a dedicated Data Science and AI team that utilizes innovative methodologies, technologies, and tools to enhance how assessments are designed, delivered, and

About the Company

At NBME, we are dedicated to advancing the assessment of health care professionals to achieve optimal care for all. While centered on assessment of physicians, this mission encompasses the spectrum of health professionals along the continuum of education, training and practice and includes research in evaluation as well as development of assessment tools. Through the creation of comprehensive assessment and learning tools for health professionals, we hope to contribute to a highly effective, diverse and compassionate health ... Know more