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    Opportunity: Senior Computational Scientist (NCI) @ Leidos Biomedical Research -- Frederick, MD (US)
    Submitted by Karen Rodgers; posted on Wednesday, March 22, 2017


    Leidos Overview:
    Leidos is a global science and technology solutions leader working to solve the world's toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported pro forma annual revenues of approximately $10 billion for the fiscal year ended January 1, 2016 after giving effect to the recently completed combination of Leidos with Lockheed Martin's Information Systems & Global Solutions business (IS&GS). For more information, visit The company's diverse employees support vital missions for government and commercial customers. Qualified women, minorities, individuals with disabilities and protected veterans are encouraged to apply. Leidos is an Equal Opportunity Employer.

    Program Description:
    The Molecular Characterization Laboratory (MoCha) is part of Leidos Biomedical Research's Clinical Research Directorate (CRD) at the Frederick National Laboratory for Cancer Research. The MoCha Laboratory is responsible for providing high-level research in support of the NCI-Cancer Diagnostics Program (CDP) within the Division of Cancer Treatment and Diagnosis (DCTD). MoCha is charged with the development and application of genomic assays for use in medical research and diagnostics for DCTD-sponsored national extramural clinical trials.


    Job Description / Basic Function:
    • Serve as the technical authority on computational issues related to the assigned projects/programs
    • Validate and maintain genomic analysis pipelines for exome, whole genome and RNA-seq data generated from the MoCha lab and/or collaborator(s)
    • Provide biological interpretation of genomic analyses to advance the understanding of the molecular biology of cancer
    • Organize and manage large genomic datasets and the integration of data from multiple sources
    • Supervise the activities of bioinformatics team members to ensure quality of work and the prioritization of projects to meet deadlines
    • Interact with management to define strategies for genomic data analysis including hypothesis generation and testing of predictive biomarkers of drug response
    • Collaborate extensively with intramural laboratories at the NIH and extramural scientists
    • Generate scientific opinions, identify potential resources or constraints, and propose strategies for exploiting available databases and program data generated at the molecular and cellular levels


    Basic Qualifications:
    To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
    • Possession of a PhD degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in biomedical science/bioinformatics/math/statistics/computer-related field
    • Foreign degrees must be evaluated for U.S. equivalency
    • A minimum of five (5) years of related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development
    • Experience in analysis of next generation sequencing (NGS) data (including quality metrics, mapping, variant calling, quantitation of gene expression and biological interpretation) and microarray analysis
    • Experience in analysis of large genomic data sets including integration with data available from public or private sources
    • Hands-on experience in data processing and analyzing sequencing and expression and other array data including quality and biological assessment
    • Experience in a computer cluster environment
    • Proficiency in bioinformatics tools, database management, bash shell scripting and programming languages such as R, C/C++, PYTHON, PERL, JAVA, SQL
    • Proficiency in several genomic data analysis tools such as GATK, Samtools, Bowtie, AnnoVar, etc., as well as biological pathway/functional analysis
    • Expertise in statistical and algorithm development for analyzing complex biological data
    • Experience and demonstrated success in a team-oriented environment
    • Excellent communication skills (written and oral)
    • Ability to identify and solve complex problems
    • Proven knowledge of cancer biology demonstrated through peer reviewed publications
    • Must be able to obtain and maintain a security clearance


    Preferred Qualifications:
    Candidates with these desired skills will be given preferential consideration:
    • Post Doctoral experience
    • Experience in algorithm development for NGS data analysis
    • In-depth understanding of molecular biology techniques, oncology and clinical research
    • Experience in data integration, database construction, application development and visualization
    • Experience in porting applications to a web environment and working with workflow tools and applications
    • Supervisory experience


    Full Time


    Frederick, MD


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