Bioinformatics Analyst II (REQ1789)

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Company :
Frederick National Laboratory

Location :
Bethesda, Maryland

Expiry Date :
Mon, 26 Apr 2021 23:59:59 GMT

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Description :

Job ID: req1789
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.



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.

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 NIAID Collaborative Bioinformatics Resource (NCBR) provides bioinformatics and analysis support to NIAID, NIDDK, and NIAMS. As part of this effort, NCBR performs pipeline development, variant calling and analysis, clinical data curation and analysis, and general data analysis support to the ongoing clinical sequencing efforts at NIAID.


* Provide collaborative bioinformatics support to the investigators at the National Cancer Institute (NCI), the National Institute of Allergy and Infectious Disease (NIAID), the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), and the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
* 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
* 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


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) in a field related to life science/bioinformatics/math/ physics/ computers or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency
* In addition to the education requirements, a minimum two (2) years of progressively responsible job-related experience
* Ability to obtain and maintain a security clearance


Candidates with these desired skills will be given preferential consideration:

* A Masters’ or PhD degree in any quantitative science
* 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: GenomeSeq, metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray analysis, single-cell RNASeq, methylation sequencing and array
* Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose, GEO, GTEx, 1k Genomes/GNOMAD
* Knowledge of working in a cluster and/or cloud environment

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