Bioinformatics Analyst III
Job ID: req1385
Employee Type: exempt full-time
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.
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 Bioinformatics Analyst III is responsible for providing collaborative bioinformatics support to the investigators at the National Cancer Institute (NCI). Responsible for:
i. the analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, proteomics and metabolomics platforms
ii. designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data
iii. mining publicly available biological data to generate novel hypotheses or insights
iv. presenting analysis results, in a clear and concise manner, to an audience not familiar with bioinformatics and
v. developing analytical workflows for new sequencing technologies
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.
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).
- In addition to the educational requirements, a minimum of four (4) years of progressively responsible relevant experience is required
- Foreign degrees must be evaluated for U.S. equivalency
- Must be able to obtain and maintain a clearance
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
- Experience evaluating and comparing different computational pipelines for alignment, variant calling, and functional annotation
- 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)