Bioinformatics Analyst III

Frederick National Laboratory for Cancer Research
Bethesda, MD
Jun 11, 2019
Jun 21, 2019
Full Time
The Advanced Biomedical and Computing Sciences (ABCS) is part of the Biomedical Informatics and Data Science directorate at Frederick National Laboratory for Cancer Research. The ABCS supports the biomedical mission of the NCI and NIH by providing technology development, scientific consultation and collaboration, scientific application development, data analysis and management, training, and other research services to the NCI and NIH scientists and staff. The work for this position supports NCI/CCR's Vaccine Branch. The Branch conducts a program of clinical and laboratory research designed to 1) elucidate basic mechanisms of immune response and molecular virology, and 2) apply these to the design and development of vaccines and immunotherapy for the prevention and treatment of cancer and AIDS, as well as viruses that cause cancer. KEY ROLES/RESPONSIBILITIES Develop, manage and maintain Data Management pipelines for next-generation sequencing data generated across multiple labs within the Vaccine Branch (including but not limited to transcriptomics, proteomics, epigenetic data, microbiome 16S RNA) Collect and review data; analyze and interpret data and results; provide reports based on analysis of scientific data, and reporting research outcomes to make recommendations for future work Work in conjunction with the CCR Collaborative Bioinformatics Resource (CCBR) team to adopt best practices for analysis of various NGS 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 Vaccine Branch to guide experimental design, carrying out primary/secondary data analysis on generated data Direct users to existing bioinformatics tools maintained or licensed by CCR Liaison between the Vaccine Branch and CCR-IT to resolve network and other IT issues pertaining to the operational integrity of the Branch's software and hardware Assist PIs in submitting data to public genomic databases, such as GEO, dbGaP in compliance with the NIH Genomic Data Sharing Policy Work with staff to utilize NIH Biowulf computer clusters to process data streamed off the next generation sequencers (NGS); process data in a batch mode Perform biological sequence analysis/assembly and public genome databases Train Postdocs and other staff to use NGS and other genomic analysis tools Advise Vaccine Branch researchers about available data analysis pipelines Attend branch and lab meetings, and provide guidance and inputs on expt. design and accurate statistical inference BASIC QUALIFICATIONS Possession of a Bachelor's degree in Data/Computer Science, biology, chemistry or a related field from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience and certifications may be substituted for the required education). Foreign degrees must be evaluated for US equivalency In addition to the educational requirements, a minimum of five (5) years of experience in bioinformatics, computational biology, etc. Good understanding of Next Generation Sequencing Data Analysis Good understanding of computer functionality and operation (PC/MAC and Linux) Experience working in a Linux environment Experience in at least two of the following areas: exome or panel sequencing, RNA-Seq, Whole genome sequencing, copy number analyses, gene expression data Ability and experience in designing and creating bioinformatics pipelines for genomics analysis Experience evaluating and comparing different computational pipelines for alignment, variant calling, and functional annotation Strong communications skills, both oral and written Excellent organizational and time management skills Ability to work independently to achieve desired goals based on a broad description of the issues and clear definition of the required outcome Must be able to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Master's or Ph.D in a biomedical field Research knowledge of immunology, virology, or related field Leadership characteristics - Able to mentor and direct postdoctoral fellows and trainees in bioinformatics Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

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