Bioinformatics Analyst III (REQ1123)

Bioinformatics Analyst III
Job ID: req1123
Facility: NIH
Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA
The Frederick National Laboratory is dedicated to improving human health through discovery and innovation in the biomedical sciences, focusing on cancer, AIDS, and emerging infectious diseases.
Position Overview:
PROGRAM DESCRIPTION
The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. With leading science and technology, the laboratory performs basic research, supports clinical trials and drug development, develops and applies next-generation technologies to solve applied problems while serving as a national resource of high-tech facilities, while also effectively responding to emerging health threats.
The Biomedical Informatics and Data Science (BIDS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science to effectively enable and advance clinical trials.
The Advanced Biomedical Computational Science (ABCS) is a part of the Biomedical Informatics and Data Science (BIDS) Program at Leidos Biomedical Research, Inc. The ABCS provides technology development, scientific consultation, collaboration and training, and high-performance computing support to the NCI and NIH scientists and staff.
The Laboratory of Pathology (LP), NCI, has implemented the Comprehensive Oncologic Molecular Pathology and Sequencing Service (NCI-COMPASS). The goal of NCI-COMPASS is to provide state of the art clinical sequencing services to CCR PIs. To this end, the NCI-COMPASS program is developing large NGS panels, as well as additional cancer -omics technologies to establish a CLIA-certified and College of American Pathologists (CAP)-accredited program to support precision cancer diagnostics.
KEY ROLES/RESPONSIBILITIES
The Bioinformatics Analyst III is responsible for providing collaborative bioinformatics support to the investigators in the NCI-COMPASS program at the National Cancer Institute (NCI). He/She is responsible for:

• The analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, proteomics and metabolomics platforms
• Contribute to a team effort in designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data
• Mining publicly available biological data to generate novel hypotheses or insights
• Presenting analysis results, in a clear and concise manner, to an audience not familiar with bioinformatics
• Perform biological sequence analysis/assembly and public genome databases
• Train PostDocs and other staff to use NGS and other genomic analysis tools
• Develop other bioinformatic pipelines for processing genomic data such as ChIP-seq, DNAse-seq, single-cell sequencing
• Advise Lab of Pathology researchers about available data analysis pipelines
• Attend branch and lab meetings, and provide guidance and inputs on expt. design and accurate statistical inference

The Bioinformatics Analyst III is expected to work effectively as a member of a team; coordinate activities among other groups located at the Bethesda, Frederick, Rockville and Gaithersburg NCI campuses; follow sound scientific practices and maintain effective documentation of activities and analyses. Majority of time will be spent on the main NIH campus in Bethesda.
BASIC QUALIFICATIONS
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Possession of a Bachelors degree 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 the educational requirements, a minimum of five (5) years of progressively responsible relevant experience is required
• Must be able to obtain and maintain a clearance.

PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:

• A Masters' or PhD degree in any quantitative science is preferred
• Commitment to solving biological problems and communicating these solutions
• Ability to multi-task across projects
• Experience in submitting data sets to public repositories
• Management of large genomic data sets including integration with data available from public sources
• Prior customer-facing role
• Record of scientific achievements including journal publications and conference presentations

EXPECTED COMPETENCIES

• Deep understanding of and experience in processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation and visualization
• Ability to understand and analyze data from complex experimental designs
• Proficiency in at least two of the following programming languages: Python, R, Perl, Java and C/C++
• Experience in at least two of the following areas: Exome sequencing, metagenomics, ChIPSeq, RNASeq, DHS-Seq, microarray analysis, DNA methylation analysis
• Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose
• Knowledge of working in a cluster environment

Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)