Description: DSFederal Inc. is searching for a Genomics Specialist, Transcriptomics in Bioinformatics and Big Data to support the National Center for Biotechnology Information (NCBI). This opportunity is full time and onsite at the NCBI in Bethesda, MD and/or remote work.
Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services in support of NCBI’s mission.
DSFederal Inc. attracts the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and more. If you enjoy being a part of a high performing, professional services and technology focused organization, we encourage you to apply!
Duties & Responsibilities
- Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data.
- Enter scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications.
- Gather detailed requirements from stakeholders and identify existing tools to perform the novel analyses or develop algorithms/tools to perform the analysis.
- Document and manage collaborative and consultant assistance and training provided to researchers.
- Provide on-site, on-demand support and troubleshooting to researchers in the use of computational biology software.
- Research, design, and deliver training materials to effectively communicate, promote, and advance computational biology techniques and software usage by NIH researchers.
- Remain abreast on current and emerging computational biology technologies and tools.
- Partner with software developers to integrate genomic software solutions within enterprise platforms.
Requirements: * Required Qualifications*
- Ph.D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, genetics or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications.
- Good understanding of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing.
- Demonstrated proficiency in the analysis of large-scale transcriptomics data (especially RNA-seq, scRNA-seq, and RNA velocity) and experience with a broad spectrum of relevant open-source software (Cellranger, seurat, scanpy, velocyto, etc.) or pipelines (DESeq2, Salmon, Kallisto, etc.).
- Experience working with relevant genomic databases and browsers and their annotations (NCBI, Refseq, Ensembl, GEO, IGV, UCSC Genome Browser.
- Proficiency in the use of UNIX/Linux and its command-line environment, including scripting (shell, Perl, Python, etc.).
- Experience with a high-performance parallel computing environment (e.g., SGE, PBS).
- Familiarity with common methods of statistical analysis using R, python or related software.
- Strong interpersonal, presentation, written, and oral communication skills to convey computational biology principles and concepts to non-specialists in a clear and precise manner and advise on relevant software and tools with a dedication to customer satisfaction.
- Ability to work independently or as part of a multi-disciplinary team.
- Excellent troubleshooting and problem-solving skills, including the ability to learn new software quickly.
- Ability to concurrently work on multiple complex projects with effective time management skills, a high level of personal and professional drive and initiative, and attention to detail.
- Proficiency with the use of open-source bioinformatics applications employing ontologies, pathways, and/or networks, at both the individual gene and genomic scales
- Familiarity with denovo genome assembly and annotation and tools (e.g., Canu, SPAdes, RAST).
- Experience constructing pipelines in open architecture platforms (WDL/Cromwell, but also Snakemake, others), including end-to-end tasks for NGS analysis tools.
- Familiarity with problems and bottlenecks associated with storage and management of genomic-scale data.
- Strong background in molecular/cellular biology, immunology, and/or virology, including “bench” experience.
- Proficiency in the analysis of a variety large-scale genomic sequencing data including ChIP-Seq, ATAC-Seq, and Methyl-Seq for example.
- Familiarity with analysis of variant analysis from whole genome or whole exome sequencing data and experience with a broad spectrum of relevant open-source software or pipelines (BWA, HiSAT, STAR, GATK, SnpEff, VEP, DESeq, etc.).
Job Type: Full-time