DCEG Data Science Group

Division of Cancer Epidemiology and Genetics (DCEG)
National Institutes of Health (NIH) / National Cancer Institute (NCI)

Established in 2019 with the recruitment of DCEG's inaugural Chief Data Scientist, Jonas Almeida, the Data Science Group seeks to advance research and infrastructure for data-intensive Precision Prevention studies.

Goal

The primary goals of the Data Science Group are to accelerate the investigation of epidemiologic and genetic causes of cancer, and to advance Cloud Computing infrastructure for Precision Prevention. These aims will be pursued as a multidisciplinary research program that combines systems biology, computational statistics, artificial intelligence, and software engineering for biomedical applications.

Training

Outreach through Education and development of trans-disciplinary human resources is the third primary goal of the Data Science Group, and is articulated as part of, or deriving from, weekly Cloud4Bio Hackathons at NCI's Shady Grove campus.

Members

• Jonas Almeida - senior investigator.
• Praful Bhawsar - graduate student.
• Geeta Joshi - Project Manager.
• We're hiring! Posdoctoral Felowship positions opened: careers.iscb.org/jobs/view/6543; and also analyst positions.

Projects we're involved

• EpiSphere - Web tools to operate Cancer Epidemiology Commons.
• FeatureScape - Interactive representation and analysis of feature landscapes.
• Serverless OpenHealth - live demo at bit.ly/loadsparcs.
• Connect - a next generation cohort study design that interoperates with integrated Health Care Systems (~200,000 participants).
• Confluence - a research resource to uncover breast cancer genetics through genome-wide association studies (GWAS). The resource will include at least 300,000 breast cancer cases.