Bioinformatics Analyst II Job ID: req1703 Employee Type: exempt full-time Facility: NIH Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Our core values of accountability, compassion, collaboration, dedication, integrity, and versatility serve as a guidepost for how we do our work every day in serving the public's interest. 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. 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 Computing Sciences (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 is responsible for providing collaborative bioinformatics support within the NCI-COMPASS program, Laboratory of Pathology, National Cancer Institute (NCI). Analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, proteomics and metabolomics platforms 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 Developing analytical workflows for new sequencing technologies The Bioinformatics Analyst II 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 Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for US equivalency In addition to the education requirement, a minimum of two (2) years of progressively responsible experience Some knowledge of Unix command line or scripting languages Ability to obtain and maintain a clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: 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 creating NGS workflows on HPC or Cloud environments 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 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) #readytowork