Bioinformatics Analyst II

Frederick National Laboratory
Bethesda, MD
Nov 26, 2021
Nov 29, 2021
Full Time
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 Radiation Oncology Branch (ROB), Center for Cancer Research (NCI) plans and conducts pre-clinical and clinical research on the biologic and therapeutic effects of radiation administrated alone or in combination with other modalities of treatment; develops novel technology and imaging based approaches for radiation oncology; investigates the natural history of disease to understand and evaluates means of diagnostic assessment for the purpose of optimizing treatment selections; and to provide radiation therapy as well as general oncology consultations for patients admitted to other NIH Clinical Research Center (CRC) clinical services, in a collaborative approach. The ROB Bioinformatics Core provides collaborative support to long-term projects as well as collaborative NGS analysis projects in the branch. KEY ROLES/RESPONSIBILITIES The Bioinformatics Analyst II is responsible for providing collaborative bioinformatics support to the investigators at the Radiation Oncology Branch, National Cancer Institute (NCI). The 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-through put 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 educational requirements, a minimum of two (2) years of progressively responsible relevant experience Ability 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 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

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