Jobs and Fellowships
Discover data science-related NIH/NCI federal job openings, fellowships, and internships. Use the interactive table to filter your search by experience level, academic degree requirements, location, and more.
| Title | Category | Experience Level Sort descending | Degree Requirements | Location | Remote? | Application Due Date |
|---|---|---|---|---|---|---|
| Genetic Epidemiology of Skin Cancer Postdoctoral Fellowship | Fellowship | 0-2 years | Doctorate (current or soon to be completed) in epidemiology, bioinformatics, genetics, or a related field | Rockville, MD | No | Open until filled |
| Cancer Screening, Casual Inference, Risk Prediction, and Health Disparities Postdoctoral Fellowship | Fellowship | 0-2 years | Doctorate (current or soon to be completed) in epidemiology or biostatistics | Rockville, MD | Partial | Open until filled |
| Statistical and Computational Methods Development Postdoctoral Fellowship | Fellowship | 2-5 years | Ph.D. (or expected soon) in statistics, biostatistics, mathematics, or a related field | Rockville, MD | No | No deadline |
| Big Data Scientist Training Enhancement Program (BD-STEP) | Fellowship | Any | Ph.D. | Multiple | No | No deadline |
| Intramural Continuing Umbrella of Research Experiences (iCURE) Program | Internship | Varies | Various | Multiple | No | |
| Tumor Heterogeneity, Tumor Evolution, and Emerging Cancer Genomics Postdoctoral Fellowship | Fellowship | Varies | Ph.D. (current or soon to be completed) in bioinformatics, computational biology, computer science, biostatistics, applied mathematics, or a related field | Rockville, MD | No | Open until filled |
| Genetics and Genomics of Bladder Cancer Postdoctoral Fellowship (Experience in Bioinformatics Preferred) | Fellowship | Varies | Ph.D. (current or to be completed within the next five years) in genetics, genomics, molecular biology, or a related field | Rockville, MD | No | Open until filled |
Please participate
We are conducting a survey to assess the compute-intensive resource needs of the cancer research community. Regardless of your area of cancer research, your insights will contribute to a better understanding of computing needs and challenges for research that involves large amounts of data and analysis.