Job Details - Junior Bioinformatics Analyst - 45847948 | Frederick National Laboratory Talent Network
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Junior Bioinformatics Analyst in Bethesda, MD

Location: Bethesda, MD
Career Level: Associate
Industries: Healthcare, Pharmaceutical, Biotech

Description

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 Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software.

The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. 

KEY ROLES/RESPONSIBILITIES

The Bioinformatics Analyst I is responsible for assisting with collaborative bioinformatics support to the investigators at the National Cancer Institute (NCI).

  • S/he is responsible for
    • running analysis and assisting interpretation of high-throughput NGS datasets
    • preparing output and reports to support decision making
    • designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data
    • preparing and delivering presentations and posters
  • The Bioinformatics Analyst I is expected to
    • work effectively and collaboratively with colleagues across NCI and FNL;
    • coordinate activities among other groups located at the Bethesda (majority time), Frederick, Rockville and Gaithersburg NCI campuses;
    • follow sound scientific practices and maintain effective documentation of activities and analyses;
    • maintain an understanding of developments in the Bioinformatics field;
    • develop and document analysis standards consistent with NCI protocols

BASIS QUALIFICATIONS

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

  • Possession of Bachelor's degree in Computer Science, Math or Biomedical Science related field 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 U.S. equivalency
  • Must be able to obtain and maintain a public trust 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
  • At least 2 years of experience
  • Experience evaluating and comparing different computational pipelines for NGS data analysis

EXPECTED COMPETENCIES:

  • Some understanding of and experience in processing high throughput biomedical data: data cleaning, metadata management, 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++
  • Basic Understanding of: 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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