Computational Genomics Specialist – Transcriptomics

Job Family :

Scientific Research & Analysis (Digital)

Travel Required : Up to 10%

Up to 10%

Clearance Required : None

None

We are currently searching for a Genomics Specialist, Transcriptomics to provide support to the National Institutes of Health (NIH).

This opportunity is a full-time position with Guidehouse, and it is on-site in Rockville, MD.

What You Will Do :

• 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.

What You Will Need :

• Graduate degree
• Minimum of FOUR (4) years of relevant experience
• 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

What Would Be Nice To Have :

• 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
• Familiarity with de novo 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.).

What We Offer :

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include :

Medical, Rx, Dental & Vision Insurance

Personal and Family Sick Time & Company Paid Holidays

Parental Leave

401(k) Retirement Plan

Group Term Life and Travel Assistance

Voluntary Life and AD&D Insurance

Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

Transit and Parking Commuter Benefits

Short-Term & Long-Term Disability

Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

Employee Referral Program

Corporate Sponsored Events & Community Outreach

Employee Assistance Program

Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

Position may be eligible for a discretionary variable incentive bonus