GDIT is seeking a Cytogenetics Bioinformatic Scientist to support National Cancer Institute’s (NCI’s) Cancer Gateway in the Cloud (CGC) Cloud Resource - ISB-CGC. In this role you will work on various tools and datasets for cancer researchers using cytogenetics. You will also describe how these tools and data can be easily and effectively used in the Google cloud to perform groundbreaking, impactful cancer research.
In this role, a typical day will include:
- Collaborating with NCI clients and cancer researchers worldwide to develop further understanding of cancer mechanisms, develop cancer diagnostics, therapies, and treatments
- Developing Jupyter/R -omics workbooks with an emphasis on cytogenetics incorporating rapidly developing laboratory and computational technologies to allow ISB-CGC end users to optimize the use of NCI cytogenetics data
- Directly demonstrating to end users how to best use cytogenetics data and tools with other bioinformatics tools/pipelines on the Google Cloud.
- Presenting the system to cancer researchers worldwide to increase use of the Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer hosted on ISB-CGC
- Working with the open-source cytogenetic to genome mapping software “CytoConverter” written in R programming language, as well as leading the debugging of the ISB-CGC branch of the CytoConverter code in collaboration with the original developer and enhancing the functionality over time.
- Participating in the Extract, Transformation and Loading of new releases of the datasets to be made available to the cancer research community
- Helping to expand available cytogenetic and other public datasets and assisting with the improvement of querying and analysis capabilities across multiple datasets
- Aiding researchers with customizing their own analysis to answer specific research questions
- Keeping up-to-date with the GA4GH and other worldwide -omics and personalized medicine initiatives
WHAT YOU’LL NEED:
- BS degree (or equivalent) in bioinformatics, computational biology, computer science, or related field and five years related experience
- Experience working with cytogenetics data
- Experience implementing bioinformatics pipelines/workflows, Jupyter notebooks and R scripts in a research environment
- Experience in Linux/Unix work environment
- Proficiency in SQL, R, and Python programming
- Prior experience interacting with bioinformaticians and computational biologists through creating documentation and presenting tutorials
- Must have or be able to obtain a public trust level of security
Desired Qualifications:
- Experience with cloud development ecosystems – Google and / or AWS
- Experience using the Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer
- Experience with tools and methods for cytogenetics and -omics data analysis (e.g. CytoConverter, bwa, GATK, Picard, samtools, vcftools, RVTESTS, beagle, GenomicRanges, tools for RNAseq analysis)
- Prior cancer research experience
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