Computational Genomics Specialist,
We are currently searching for a Computational Genomics Specialist, Clinical to provide support to the National Institutes of Health (NIH). This opportunity is a full-time position with MSC, and it is on-site in Rockville and Bethesda, MD.
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 into 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.
- Ph.D. (or MS with 3+ years of relevant experience, or BS with 5+ years of relevant 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.
- Two years of experience in the analysis of large-scale genomic sequencing data including variant analysis from whole genome or exome sequencing data and experience with a broad spectrum of relevant open-source software or pipelines (e.g., BWA, GATK, SnpEff, VEP, etc.)
- Proficiency in the use of UNIX/Linux and its command-line environment, including scripting (e.g., Python, R, Perl, shell, or Ruby).
- Experience with a high-performance parallel computing environment
- 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.
- Experience with genomic diagnosis of rare diseases and filtering variants using family-based genetic models (e.g., autosomal recessive/dominant, compound heterozygous, etc.), including experience with relevant related tools for finding disease-causing variants (e.g. VAAST/pVAAST, GEMINI).
- Experience with structural variation analysis from next-generation sequencing data
- Experience constructing pipelines in open architecture platforms (e.g. Snakemake), including end-to-end tasks for NGS analysis tools.
- Experience with genetic association methods (case-control, burden testing, family-based linkage analysis).
- Experience with RNA-seq + genome assembly using tools such as HISAT2, STAR, DESeq2.
- Familiarity with common methods of statistical analysis using R, SAS, or related software.
- Familiarity with algorithms and algorithm development for bioinformatics, including composing, editing, and compiling open-source code.
- Familiarity with problems and bottlenecks associated with storage and management of genomic-scale data.
- Familiarity with the use of open-source bioinformatics applications employing ontologies, pathways, and/or networks, at both the individual gene and genomic scales.
- Strong background in molecular/cellular biology, immunology, and/or virology, including “bench” experience.
- Ability to propose and develop new methodologies for analyzing biomedical data.
Due to our contractual requirements, to be eligible for this role, you must be fully vaccinated against COVID-19 at time of hire.Company Description
Dovel Technologies and its Family of Companies (Medical Science & Computing and Ace Info Solutions) was acquired in October 2021.
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.
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