Research Intern, Cancer Risk Prediction

American Chemical Society•Atlanta, GA

About The Position

The Research Intern will work under the mentorship and supervision of senior-level scientists on projects related to cancer risk prediction and health disparities. The internship is intended for candidates trained in biostatistics, statistics, or quantitative epidemiology and can fulfill a practicum and/or thesis requirement. The intern will build scientific research skills through data analysis, presenting analytical results to internal and external collaborators, drafting research proposals and manuscripts, and other scientific activities. There may be an opportunity to lead or co-lead a research project for thesis work. The position is remote and/or based at an American Cancer Society office, to be determined, and is up to 20 hours per week.

Requirements

  • Data analysis experience.
  • R programming skills in a public health research environment.
  • Ability to manage multiple tasks simultaneously.
  • Excellent organizational, interpersonal, oral communication, and written communication skills.

Nice To Haves

  • Knowledge of R is preferred.
  • Experience with SEERStat.
  • Experience in cancer epidemiological research.
  • MPH/MS and/or PhD candidates in biostatistics, statistics, or quantitative epidemiology are preferred.

Responsibilities

  • Prepare and analyze data to address cancer risk-prediction questions by combining risk-factor associations, incidence and competing-mortality rates, and risk-factor distributions in populations of European and non-European ancestry.
  • Write, test, and submit computer programs.
  • Conduct literature reviews and assist with developing research proposals and scientific writing.
  • Prepare tables and figures for scientific presentations using Excel and/or PowerPoint.
  • Present analytical results to internal and external collaborators and participate in other scientific activities under senior researchers' supervision.
  • Potentially lead or co-lead a research project for thesis work.

Benefits

  • Generous paid time off policy
  • Medical benefits
  • Dental benefits
  • Retirement benefits
  • Wellness programs
  • Professional development programs to enhance staff skills
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service