Summer Internship in Measurement and Data Science

Healthcoaches; Philadelphia (Philadelphia County); On-site; USD 15,000 - 25,000; Full time

Job summary

Healthcoaches is offering a Summer Internship in Measurement and Data Science for graduate students. Interns will engage with experienced mentors on research projects and present their findings to professionals.

The internship program emphasizes statistical analysis and will culminate in a conference submission or paper publication. Candidates must be enrolled in a doctoral program with courses in statistics or related fields.

Qualifications

• Active enrollment in a doctoral program with at least two years of graduate coursework.
• Experience or coursework in statistics, measurement theory, and related fields.
• Working knowledge of statistical software tools.

Responsibilities

• Pair with mentors on research projects.
• Interact with graduate students and NBME professionals.
• Present projects and research findings to employees.

Skills

Statistics

Research design

Natural language processing

Machine learning

Statistical software (SPSS, R, etc.)

Education

Enrollment in a doctoral program

Tools

Winsteps

BILOG

SPSS

SAS

R

Job description

SUMMER INTERNSHIP IN MEASUREMENT AND DATA SCIENCE

NBME’s Measurement and Data Science eight-week internship program provides students enrolled in doctoral programs in measurement, statistics, computer science, natural language processing, cognitive science, medical education or a related field the opportunity to pair with seasoned NBME mentors on a research project.

Interns will interact with other graduate students and NBME professionals, present completed projects or work‑in‑progress to NBME employees. The expected deliverables from the summer internship project are an internal research presentation, as well as a conference submission / presentation (AERA, NCME, AAMC, ACL etc.) and/or a paper submitted for publication.

Requirements

• Active enrollment in a doctoral program in measurement, statistics, computer science, cognitive science, medical education, or a related field; completion of two or more years of graduate coursework.
• Experience or coursework in statistics, measurement theory, item response theory, research design, natural language processing, machine learning, or cognitive science. Knowledge of advanced topics (e.g., equating, multilevel modeling, differential item functioning, validity frameworks, transformer models, or automated scoring methods) is helpful. Skill in writing and presenting research.
• Working knowledge of statistical software (e.g., Winsteps, BILOG; SPSS, SAS, or R).
• Interns will be assigned to one or more mentors but 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.