Genomic Specialist, Transcriptomics

Rockville, Maryland
Jul 22, 2021
Science/R&D, Genomics
Required Education
Position Type
Full time

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 MSC, and it is on-site in Rockville, 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 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


Preferred qualifications:

  • 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.).






Company Description

We are a trusted government partner that blends deep domain expertise with advanced technologies to help our customers solve complex problems that improve, protect, and save lives. As a rapidly growing company, we combine entrepreneurial spirit, customer focus, and an outcomes-based approach to support agency missions in health IT, life sciences, public safety, and grants management.


The Dovel Family of Companies offers employees an opportunity to advance beyond a specific role or contract, we offer a path to develop an enriching career. We believe in empowering a culture of innovation, customer success, and employee growth. 


What you’ll get…

  • Time Off! Flexible schedules and company paid holidays allow you to take the time you need.
  • Investment in YOU! 401(K) company contributions are yours to keep with no waiting period.
  • Choices! Unique healthcare plans to choose from with options like fertility and orthodontia benefits.
  • Discovery! With our tuition assistance and training programs, we support your career advancement.
  • Tax Savings! Enroll in pre-tax Health or Dependent Care Flexible Spending, HSA with company contributions, parking, and/or transit commuter benefits.
  • Support! Working parents and busy professionals – we’ve got you covered with a supportive culture, confidential Employee Assistance Program and a membership to
  • Perks! Employee discounts, peer recognition programs, company-wide wellness challenges, and fun community events.
  • A Voice! A unique culture where you can influence decisions and have your voice heard.




We are an Equal Opportunity Employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, disability, or veteran status.