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Biostatistics Fellowship Opportunities

Investigators in the Biostatistics Branch (BB) work with fellows to develop statistical methods and data resources to strengthen observational studies, intervention trials, and laboratory investigations of cancer. Investigators can and do conduct innovative methodological research in an environment of one-of-a-kind population-based epidemiologic and genetics studies. Fellows build methodological and collaborative research programs in concert with their scientific mentors.

Training opportunities are available on projects related to:

  • Statistical methods and study design 
  • Risk assessment and risk prediction
  • Longitudinal and survival analysis
  • Molecular and genetic epidemiology
  • Environmental epidemiology
  • Cancer screening assessment and validation
  • Analytic and descriptive epidemiology

Fellows have opportunities to collaborate across branches in these areas. Learn more about the Biostatistics Branch research areas.

Apply to be a Fellow in BB

DCEG's Commitment to Training

Postdoctoral, predoctoral, and postbaccalaureate fellowship applications are accepted on a continuous basis. Contact investigators in BB who are conducting research in your area of interest and send a copy of your CV; DCEG scientists are always on the lookout for new fellows. In addition, submit your CV to the application database so it can be reviewed by investigators across the NCI searching for fellows. You can also apply for training positions with specific investigators when available and announced.

Access interactive transcript and audio-described version of the "Commitment to Training" video.

Training Opportunities with Specific Investigators

To explore training opportunities in other research areas, see a full list of the DCEG research groups on the Apply for Fellowships page.

I feel incredibly blessed to be training in DCEG/BB because of the open and collaborative environment, which I think is fundamental for fellows’ training. There are immense opportunities to work with diverse experts in clinical and epidemiological research, which enables me to combine methodological work with public health research and challenges me to develop new statistical approaches.

Justin Yongli Han, Ph.D.

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