Bioinformatics Analyst II
Job ID: req380
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.
The Advanced Biomedical Computing Center (ABCC) is a part of the Biomedical Informatics and Data Science (BIDS) Program at Leidos Biomedical Research, Inc. The ABCC provides technology development, scientific consultation, collaboration and training, and high-performance computing support to the NCI and NIH scientists and staff.
The Bioinformatics Analyst II is responsible for providing collaborative bioinformatics support to the investigators at the National Cancer Institute (NCI).
Bioinformatic Analyst II 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
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.
- Possession of a Bachelor’s 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 two (2) years of progressively responsible relevant experience is required
- Must be able to obtain and maintain a clearance
- 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
- 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: Perl, Python, R, Java and C/C++
- Experience in at least two of the following areas: metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray 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)