Not logged in
  • Log in
    Membership (41379+) Group hosting [?] Wiki
    Franklin Award

    About bioinformatics
    Bioinformatics training
    Bioinformatics jobs

    All information groups
    Online databases Online analysis tools Online education tools More tools

    All software groups
    FTP repository
    SVN & CVS repositories [?]
    Mailing lists

    News & Commentary
  • Submit
  • Archives
  • Subscribe

  • Jobs Forum
    (Career Center)
  • Submit
  • Archives
  • Subscribe
  • Career Center - Message forums

    Opportunity: IT Manager I (#605386) @ Leidos Biomedical Research -- Gaithersburg, MD (US)
    Submitted by Karen Rodgers; posted on Friday, May 09, 2014


    The Cancer Genomics Research (CGR) laboratory in Gaithersburg, MD, is a fast-paced, high-throughput genotyping and sequencing facility dedicated to the support of molecular, genetic and epidemiologic studies for investigators at the National Cancer Institute's Division of Cancer Epidemiology & Genetics. We are seeking a highly motivated senior bioinformatician to join the Operations division at the CGR to serve as a manager and technical lead for the Bioinformatics group.


    The Bioinformatics Manager and their team will be responsible for the following key deliverables: Data management and analysis of whole-genome, exome, transcriptome, methylome, microbiome, and targeted sequencing data generated by multiple technologies, including Illumina, IonTorrent, Pacific Biosciences, and others; Data management and analysis of whole-genome, methylation and targeted genotyping data generated by multiple applications, including Illumina Infinium and HM450, qPCR and others; Development, execution and continual improvement of reliable software pipelines in collaboration with laboratory staff, investigators and analysts, to perform quality control analysis, sequence alignment, variant and genotype calling, and annotation of data for a wide variety of applications, including familial, population-based germline and somatic analyses; Dissemination of data to DCEG investigators and other collaborators, including adequate technical and scientific annotation required for interpretation. Manage posting of data sets to public data repositories (dbGaP) as required based on NIH genomic data sharing policies. Progress on projects will be reported on a regular basis and incumbent may be responsible for presenting data at meetings, conferences or other venues.


    • Possession of a Master's degree from an accredited college/university in a scientific field such as chemistry, physics, mathematics, or computer science or six (6) years related experience in lieu of degree.
    • Foreign degrees must be evaluated for U.S. equivalency.
    • In addition to educational requirement, a minimum of four (4) years of progressively responsible job related experience including one (1) year of experience in a leadership capacity.
    • Experience managing complex programs or large production units is required.
    • Hands-on experience in processing and analyzing sequencing, genotyping, expression and other data utilizing R/Bioconductor (including quality and biological assessment) is essential.
    • Familiarity with diverse primary sequencing tools (e.g. BWA, bedtools, GATK, Bowtie, IGV, muTect, VarScan) and annotation tools (e.g. snpEff, Annovar, SIFT, PolyPhen) with the ability to benchmark new tools as they become available in order to improve current pipeline.
    • Programming experience in Python, Unix shell (Bash), Java scripting or similar.


    • PhD in computational genetics, bioinformatics, biostatistics or equivalent preferred.
    • Hands-on experience with commercial and open-source bioinformatics and genomics analysis software (IVA, GoldenHelix, Galaxy) is desired.
    • Ability to incorporate multiple data sources for use in downstream analysis, including microarray genotype data, epidemiological data, publicly available data sources (e.g. TCGA, ENCODE, 1000 Genomes, COSMIC, ESP) and diverse genomic annotations.
    • Experience in project management and data delivery, sequence analysis, experience managing large datasets and computation, proficiency in a relational database management system (Oracle/MySQL or similar), experience in the field of molecular and population genetics.


    Leidos Biomedical Research Inc., a wholly owned subsidiary of Leidos, is accelerating the development of new technologies and treatments for patients with cancer and AIDS. Leidos Biomedical is the operations and technical support contractor for the Frederick National Laboratory for Cancer Research, a federal national laboratory.

    Leidos Overview: Leidos is an applied solutions company focused on markets that are seeing converging business and technological trends, and address basic, enduring human needs: defense and national security, health and life sciences, and energy, engineering and infrastructure. The Company's approximately 20,000 employees serve customers in the U.S. Department of Defense, the intelligence community, the U.S. Department of Homeland Security, other U.S. Government civil agencies and commercial health and engineering markets.


    To apply, visit:[...]8100/


    Leidos is an Equal Opportunity Employer M/F/D/V.

    Expanded view | Monitor forum | Save place

    Start a new thread:
    You have to be logged in to post a reply.


    Copyright © 2019 · Scilico, LLC