Job Details - BioInformatics Analyst IV - 43338768 | Frederick National Laboratory Talent Network
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BioInformatics Analyst IV in Bethesda, MD

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



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 and Computational Science (ABCS) group is a part of BIDS within Leidos Biomedical Research as a technological hub of translational scientists with expertise in structural biology, biology, chemistry, imaging, and informatics. 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. 


  • As part of the CCR Collaborative Bioinformatics Resource (CCBR), provide collaborative bioinformatics support to the investigators in Center for Cancer Research, National Cancer 
  • Collect and review data; analyze and interpret data and results; provide reports based on analysis of scientific data, and report research outcomes to make recommendations for future work 
  • Develop and maintain Data Management pipelines for next-generation sequencing data (including but not limited to transcriptomics, proteomics, epigenetic data) 
  • Work with staff on data visualization to support the preparation of presentations and manuscripts for submission to scientific journals  
  • Consult with members of the group to guide experimental design, carrying out primary/secondary data analysis on generated data 
  • Assist the group in submitting data to public genomic databases, such as GEO, dbGaP in compliance with the NIH Genomic Data Sharing Policy 
  • Train PostDocs and other staff to use NGS and other genomic analysis tools 
  • Develop other bioinformatic pipelines for processing genomic data such as ChIP-seq, DNAse-seq, single-cell sequencing, etc. 
  • Attend relevant branch and lab meetings and provide guidance and inputs on experiment design and accurate statistical inference  
  • Provide technical mentoring and project support for junior team members 
  • Identify new opportunities for enhancing CCBR's scientific impact and operational efficiency  
  • Will have a responsibility to work with the BIDS PAO as may be required 


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

  • Possession of Master's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or six (6) years relevant experience in lieu of degree.  Foreign degrees must be evaluated for U.S. equivalency 
  • In addition to the education requirement, a minimum of ten (10) years of progressively responsible experience 
  • Some knowledge of Unix command line or scripting languages 
  • Ability to obtain and maintain a security clearance 


Candidates with these desired skills will be given preferential consideration:  

  • Possession of a 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 
  • Experience with multi-omic integration of NGS datasets 


  • 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, single-cell transcriptomics 
  • Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose 
  • Knowledge of working in a cluster environment 

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