Bioinformatics Analyst (NCI)
The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG). Working in concert with epidemiologists, biostatisticians and basic research scientists in DCEG’s intramural research program, CGR provides the capacity to conduct genome-wide discovery studies and targeted regional approaches to identify the heritable determinants of various forms of cancer.
The Bioinformatics Associate III will be responsible for:
- Independently performing HPV-related research informatics under the review of the Director of Research and Director of the Cancer Genomics Research Laboratory,
- Coordination with numerous technical and administrative resources required for development of new analytic methodologies related to the Research HPV group’s goals and projects,
- Operating independently in a rapidly changing environment of next-generation sequencing and genotyping technologies and handling the recognition, research, resolution and follow up for routine and complex problems,
- Identification, testing, optimization and implementation of new informatic applications that support DCEG and CGR research and HPV research efforts,
- Independent experimental design and execution, analysis and interpretation of results, and mapping out follow up work, and
- Communication of results and interpretation to a diverse audience, including senior CGR scientists, DCEG collaborators, and internal stakeholders.
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Possession of a Bachelor’s degree (Master's degree preferred) from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education).
- Foreign degrees must be evaluated for U.S. equivalency
- In addition to educational requirements, a minimum of five (5) years of progressively responsible relevant experience as designated by the program requirements
- Familiarity with diverse primary sequencing tools (e.g. samtools, bedtools, GATK, BWA, Bowtie, IGV)
- Hands-on experience with commercial and open-source bioinformatics and genomics analysis software (e.g. muTect, VarScan, VarDict, DESeq2)
- Familiarity with publicly available data sources (e.g. TCGA, ENCODE, 1000 Genomes, COSMIC, ESP) and diverse genomic annotations
- Proficiency in R and/or Python
- Cloud Computing and/or operation
- Experience with NGS Datasets (Especially Ion Torrent)
- Must be able to obtain and maintain a security clearance