HomeAfricaApplications Open for internship program. Quantitative Sciences Undergraduate Research Experience (QSURE) 2026
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Applications Open for internship program. Quantitative Sciences Undergraduate Research Experience (QSURE) 2026

The Quantitative Sciences Undergraduate Research Experience (QSURE) at Memorial Sloan Kettering Cancer Center (MSK) is now accepting applications for its 2026 summer internship program. This 10-week program offers undergraduate students the opportunity to work on data-driven research projects focused on cancer and population health.

Program Dates: Monday, June 1 – Friday, August 7, 2026
Application Deadline: Monday, January 19, 2026, at 9:00 a.m. (Eastern Time)
Stipend: $6,375 for the 10-week internship
Housing: Available for accepted students
Eligibility: Applicants must be authorized to work in the U.S.


About the Internship

QSURE provides hands-on research experience for motivated undergraduates interested in biostatistics, epidemiology, health outcomes, and computational oncology. Each intern is paired with a faculty mentor and works on an individual project that contributes to cancer research.

Participants develop quantitative and analytical skills, learn research ethics, and receive guidance on graduate education and career development in quantitative health sciences.


Program Benefits

  • Mentorship from leading researchers and faculty

  • Training in data analysis and statistical modeling

  • Exposure to diverse research applications and scientific presentations

  • Education in the responsible conduct of research

  • Career development workshops and graduate study insights


Outcomes

QSURE has a strong record of success:

  • 100% of alumni recommend the program to other students

  • 71% of alumni have entered graduate programs (Master’s or PhD) in related fields

  • Many participants have contributed to publishable research projects


Eligibility

Applicants must:

  • Be enrolled full-time as undergraduate students with an expected graduation after December 2026

  • Be authorized to work in the U.S.

  • Be in good academic standing

  • Have completed at least one semester of college-level statistics (AP courses do not qualify)

  • Demonstrate proficiency in R, SAS, STATA, or Python

  • Show interest in cancer or population health research

Competitive candidates will have strong analytical skills, an excellent academic record, and effective communication abilities.


Application Requirements for the internship

Applicants must submit a single application including:

  1. Resume

  2. Statement of Interest (approximately 500 words) describing motivation and quantitative experience

  3. Letter of Good Academic Standing from a dean, advisor, or registrar

  4. Letter of Recommendation from a professor or supervisor

Transcripts will be requested after acceptance. Applications submitted by January 4, 2026 will receive priority consideration. Only complete applications will be reviewed.


Internship Location

The QSURE internship is based at Memorial Sloan Kettering’s Department of Epidemiology and Biostatistics, located at 633 3rd Avenue, Midtown Manhattan, New York City. The location is easily accessible by subway, bus, and train, with MSK shuttle service connecting to the main campus on the Upper East Side.


Research Areas and Sample Projects

QSURE projects apply quantitative methods to cancer research in the following areas:

  • Biostatistics: Statistical methodology, prediction modeling, clinical trials

  • Epidemiology: Cancer etiology, risk, and prevention

  • Health Outcomes: Health service delivery and industry relationships

  • Computational Oncology: Molecular and genomic data analysis

Examples of past projects include:

  • Predicting liver metastases in colorectal cancer using radiomics data

  • Understanding prescription drug use differences among populations

  • Integrative analysis of genomic factors underlying cancer disparities


Contact Information

Email: bstQSURE@mskcc.org
Phone: 646-888-8156

For more information, please visit their website here

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