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. Trainees 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
Postdoctoral, predoctoral and postbaccalaureate fellowship applications are accepted on a continuous basis. Contact investigators in BB doing research in your area of interest with a copy of your CV; DCEG scientists are always on the lookout for new trainees. In addition, submit your CV to the application database so it can be reviewed by investigators across the NCI searching for trainees. You can also apply for training positions with specific investigators listed below.
Training Opportunities with Specific Investigators
- Postdoctoral Fellowship in Biostatistics with Dr. Paul S. Albert
- Interdisciplinary Research in Radiation Epidemiology & Biostatistics Postdoctoral Fellowship with Drs. Mark Little, Paul S. Albert, and Amy Berrington de González
To explore training opportunities in other research areas, see a full list of the DCEG research groups on 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.