DESCRIPTION

RESPONSIBILITIES

• Validate and maintain genomic analysis pipelines for exome, whole genome and RNA-seq data generated from the mocha lab and/or collaborator(s) and help provide biological interpretation of the genomic analysis to advance the understanding of cancer
• Responsible for the organization and management of large genomic datasets, and the integration of data from multiple sources
• Supervise and collaborate with other bioinformatics team members to ensure the quality of work and the prioritization of projects to meet deadlines
• Interacts with management to define strategies for genomic data analysis including hypothesis generation and testing of predictive biomarkers of drug response
• Interacts extensively with intramural laboratories at the NIH and extramural scientists
• Responsible for generating scientific opinions, identifying potential resources or constraints, and proposing strategies for exploiting available databases and program data generated at the molecular and cellular levels

REQUIREMENTS

• Possession of a Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a related field (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency.
• In addition to the education requirements, a minimum of eight (8) years of related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development is required
• Must possess experience in analysis of next generation sequencing (NGS) data (including quality metrics, mapping, variant calling, quantitation of gene expression and biological interpretation)
• Experience in analysis of large genomic data sets including integration with data available from public or private sources
• Hands-on experience in data processing and analyzing sequencing and expression and other array data including quality and biological assessment are also essential
• Experience in a computer cluster environment is required
• Proficiency in bash shell scripting and in one or more of the programming languages such as R, C/C++, PYTHON, PERL, JAVA, SQL and bioinformatics tools and database management is essential
• Must be proficient in several genomic data analysis tools such as GATK, Samtools etc., as well as biological pathway/functional analysis
• Expertise in statistical analysis of complex biological data is critical to success
• Experience and demonstrated success in a team-oriented environment and excellent communication skills (written and oral) are also required
• Ability to identify and solve complex problems. Proven knowledge of cancer biology demonstrated through peer reviewed publications is required
• Must be able to obtain and maintain a security clearance

PREFERENCES

• Experience in algorithm development for NGS data analysis. In-depth understanding of molecular biology techniques, oncology and clinical research
• Experience in data integration, database construction, application development and visualization
• Experience in porting applications to a web environment and working with workflow tools and applications are also desired

HOW TO APPLY

POLICY