Staff Scientists - Bioinformatics, data analysis

The Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), in Bethesda, Maryland is recruiting Staff Scientists to join the Intramural Research Program’s mission of high-impact, high reward science. The CDSL's (https://ccr.cancer.gov/cancer-data-science-laboratory) mission is harnessing a broad spectrum of computational approaches (e.g., statistics, machine learning, algorithms, etc.) for analyzing and integrating cancer omics data. Candidates will develop cutting-edge computational methods to address fundamental questions concerning cancer origin, evolution, progression, and treatment. The Laboratory will work in a highly collaborative and integrative manner with other NCI Laboratories to generate testable predictions whose experimental outcomes could further feedback to the algorithm development. The Laboratory works in a highly collaborative and integrative manner with other CCR research Laboratories to provide an analysis counterpart to their experiments and generate further testable predictions whose experimental outcomes could further feedback to the computation. We encourage outstanding scientists with experience developing and applying computational approaches for analyzing large scale cancer data to apply.

CCR is working to solve the most pressing problems in the field through basic, translational and clinical cancer research to create the cancer medicines of tomorrow and is dedicated to preparing the next generation of cancer researchers. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences. 

Our scientists can’t do it alone. It takes a skilled, multi-disciplinary team of dedicated staff in research, patient care and administration to improve the lives of cancer patients and answer the most important questions in cancer biology and treatment. Be part of our mission to unlock the mysteries of cancer through research to create the medicines of tomorrow.