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Transcriptomics Computational Analyst

2 months ago


Rockville, Maryland, United States Guidehouse Full time

Job Family:

Scientific Research & Analysis (Digital)


Travel Requirements:

Up to 10%


Security Clearance:

None

We are seeking a skilled Genomics Specialist with a focus on Transcriptomics to support the National Institutes of Health (NIH). This is a full-time position with Guidehouse.

Key Responsibilities:

  • Design, develop, and enhance computational biology and bioinformatics algorithms for the analysis, management, interpretation, visualization, and presentation of original scientific data.
  • Engage in scientific collaborations with medical professionals and researchers, which may lead to authorships and acknowledgments in scientific publications.
  • Collect detailed requirements from stakeholders and assess existing tools for novel analyses or create new algorithms/tools for the required analysis.
  • Document and oversee collaborative efforts and training provided to researchers.
  • Offer on-site, immediate support and troubleshooting for researchers utilizing computational biology software.
  • Research, create, and deliver training materials to effectively communicate and promote computational biology techniques and software usage among NIH researchers.
  • Stay updated on current and emerging computational biology technologies and tools.
  • Collaborate with software developers to integrate genomic software solutions within enterprise platforms.


Qualifications:

  • Graduate degree
  • A minimum of FOUR (4) years of relevant experience
  • Strong understanding of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing.
  • Proven expertise in analyzing large-scale transcriptomics data (especially RNA-seq, scRNA-seq, and RNA velocity) and familiarity with a wide range of relevant open-source software (Cellranger, seurat, scanpy, velocyto, etc.) or pipelines (DESeq2, Salmon, Kallisto, etc.).
  • Experience with relevant genomic databases and browsers and their annotations (NCBI, Refseq, Ensembl, GEO, IGV, UCSC Genome Browser).
  • Proficiency in UNIX/Linux and its command-line environment, including scripting (shell, Perl, Python, etc.).
  • Experience with high-performance parallel computing environments (e.g., SGE, PBS).
  • Familiarity with statistical analysis methods using R, Python, or related software.
  • Excellent interpersonal, presentation, written, and verbal communication skills to convey computational biology principles to non-specialists clearly and effectively.
  • Ability to work independently or collaboratively within a multi-disciplinary team.
  • Strong troubleshooting and problem-solving skills, with the ability to quickly learn new software.
  • Capacity to manage multiple complex projects simultaneously with effective time management skills and attention to detail.
  • Proficiency in using open-source bioinformatics applications that employ ontologies, pathways, and/or networks at both individual gene and genomic scales.


Preferred Qualifications:

  • Ph.D. (or 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 tools (e.g., Canu, SPAdes, RAST).
  • Experience constructing pipelines in open architecture platforms (WDL/Cromwell, Snakemake, etc.), including end-to-end tasks for NGS analysis tools.
  • Understanding of issues related to the storage and management of genomic-scale data.
  • Strong background in molecular/cellular biology, immunology, and/or virology, including practical laboratory experience.
  • Proficiency in analyzing various large-scale genomic sequencing data, including ChIP-Seq, ATAC-Seq, and Methyl-Seq.
  • Familiarity with 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 provides a comprehensive total rewards package that includes competitive compensation and a flexible benefits package, reflecting our commitment to fostering 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
  • Annual membership
  • 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

About Guidehouse
Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.