RESPONSIBILITIES

• 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

REQUIREMENTS

• 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

• 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

HOW TO APPLY