The Department of Epidemiology and Biostatistics at Memorial Sloan Kettering Cancer Center will sponsor up to 5 students to work as summer interns under the direct supervision of a faculty member or senior staff member in Biostatistics. Students will have a chance to interact with distinguished investigators and other healthcare professionals to contribute to the department’s research endeavors, enrich their understanding of statistics, survey development, participant recruitment and research administration, as well as perform specific tasks assigned and present the results of their work. Additionally, interns will have an opportunity to explore the wider MSK community by attending seminars, employee events, and facility tours offered institution-wide. It is our intention that the mentorship will continue beyond the 8 weeks internship.
Intern Requirements/Selection Criteria
- Must be matriculated in an undergraduate program and currently enrolled as a college freshmen, sophomore or junior
- Strong academic record
- Excellent analytical skills and programming skills/interest
Interns will receive a small stipend, payable bi-weekly for the duration of the assignment.
This is an 8-week program starting on Monday, June 5th and ending on Friday, July 28th. The number of hours per week will be determined after the interview and will be stated in the acceptance letter each intern will receive from the department.
Other Relevant Information
There is no housing provided. You must be authorized to work in the US to be eligible for this program.
- Cover letter – stating area of interest
- (1) Letter of Recommendation
- If accepted into the Internship Program, the intern will need to provide proof of enrollment in an undergraduate program (e.g. letter from Registrar’s Office, official transcript).
To apply, send all required documents via e-mail to email@example.com
Applications will be accepted from 12/1/16 to 2/15/17. A final decision will be made on or before March 31, 2017.
Areas of Research
- Survival Analysis
- Observational Study Designs
- Clinical Trial Designs
- Cancer Genomics
- Statistical Learning
- Prediction Models
- Agreement Statistics
- Statistical Genetics
- Predictive Cancer Biomarkers
- Penalized Regression
- Bayesian Methods