We are seeking a Bioinformatics Scientist to join our team to support the National Cancer Institute’s Cancer Genomics Cloud Resource activities at Rockville, MD. As a Bioinformatics Scientist you will be performing highly impactful dataset identification, loading, and curation; tool discovery, qualification, and provisioning; and educating scientists through collaborations on how to use the Google Cloud for their Cancer Research.
You will be an integral component of the ISB-CGC Cancer Genomics Cloud Resource (ISB-CGC.org) responsible for delivering well curated data and tools to the Google Cloud Platform to democratize the use of NCI’s cancer datasets and expedite the diagnose and treatment of cancer. You will be part of a 12-person team supporting NCI's mission to lead, conduct, and support cancer research across the nation to advance scientific knowledge and help all people live longer, healthier lives.
WHAT GDIT CAN OFFER YOU
This role is supporting a critical mission for the public health, working for the prestigious National Cancer Institute in Rockville, MD. Your scientific acumen and bioinformatics hands-on knowledge of how data and tools can be used in the commercial Google cloud to rapidly move cancer research forward, helping people nationally and worldwide utilize the amazing tools now available to be applied to the ever-growing detailed and complex molecular and clinical datasets. After serving NCI, there are many opportunities to move into other more experienced roles across the GDIT huge portfolio of projects, providing you career growth while part of a dynamic and vital company.
In this role, a typical day will include:
● Develop -omics and clinical pipelines/workflows and/or Jupyter notebooks based on rapidly developing technologies to allow ISB-CGC end users to optimize the use of NCI -omics and clinical data in the Google Cloud Platform
● Write examples, tutorials, and create videos for the ISB-CGC documentation that demonstrates to end-users how to best use bioinformatics tools/pipelines on the Google Cloud as well as for tutorials on our ISB-CGC web-applications
● Help with expanding available public datasets and assist with the improvement of querying capabilities across multiple datasets
● Aid researchers wanting to customize their own analysis to answer specific research questions
● Learn/ keep up-to-date with GA4GH and other worldwide -omics and personalized medicine initiatives
.BS and five years hands on experience
Experience with implementing bioinformatics pipelines/workflows, Jupyter notebooks and R scripts in a research environment
Proficiency in several of the following: UNIX/LINUX, SQL, bash scripting, R and Python programming
Prior experience interacting with bioinformaticians and computational biologists through documentation and tutorials
Ability to teach Cancer Researchers how to use ISB-CGC systems through in-person training at conferences or other forums
Ability to obtain a NIH Public Trust
Masters or Ph.D. in bioinformatics, computational biology, computer science, or related field
Experience with cloud development ecosystems – Google and / or AWS
Creating and using container technologies, such as Docker or Singularity
Implementing parallel computation for bioinformatics pipelines
Demonstrated fluency with tools and methods for -omics data analysis (bwa, GATK, Picard, samtools, vcftools, RVTESTS, beagle, GenomicRanges, tools for RNAseq analysis, etc.)
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.