Frederick National Laboratory for Cancer Research

Bioinformatics Analyst II

Location
Bethesda, MD, USA
Posted
Oct 01, 2020
Ref
req1350
Hotbed
BioCapital
Required Education
Bachelors Degree
Position Type
Full time
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 Frederick National Laboratory's mission 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 enable and advance clinical trials.

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.

KEY ROLES/RESPONSIBILITIES

The Bioinformatics Analyst II is responsible for providing collaborative bioinformatics support to the investigators at the National Cancer Insitute (NCI), the National Institute of Allergy and Infectious Disease (NIAID), and the National Insitute of Diabetes and Digestive and Kidney Diseases (NIDDK);
  • Responsible for
    • (i) the analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, proteomics and metabolomics platforms
    • (ii), contributions to a team effort in 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 and
    • (iv) 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

BASIC QUALIFICATIONS

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
  • Bachelor's degree in life science/bioinformatics/math/physics/computer related field from an accredited college or university or four (4) years related experience in lieu of degree
  • In addition to the degree requirement, 2-5 years of directly related experience is required
  • Foreign degrees must be evaluated for U.S. Equivalency
  • Must be able to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:
  • A Masters' or Ph.D. 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
  • 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)

#readytowork