Computational Genomics Specialist - Transcriptomics
Company: Guidehouse
Location: Rockville
Posted on: October 30, 2024
Job Description:
Job Family:Scientific Research & Analysis (Digital)Travel
Required:Up to 10%Clearance Required:NoneWe 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 scalesWhat 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 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.).The annual salary range for this
position is $100,200.00-$150,200.00. Compensation decisions depend
on a wide range of factors, including but not limited to skill
sets, experience and training, security clearances, licensure and
certifications, and other business and organizational needs.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
- Care.com 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
bonusAbout GuidehouseGuidehouse 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.Guidehouse will consider for employment qualified
applicants with criminal histories in a manner consistent with the
requirements of applicable law or ordinance including the Fair
Chance Ordinance of Los Angeles and San Francisco.If you have
visited our website for information about employment opportunities,
or to apply for a position, and you require an accommodation,
please contact Guidehouse Recruiting at 1-571-633-1711 or via email
at . All information you provide will be kept confidential and will
be used only to the extent required to provide needed reasonable
accommodation.Guidehouse does not accept unsolicited resumes
through or from search firms or staffing agencies. All unsolicited
resumes will be considered the property of Guidehouse and
Guidehouse will not be obligated to pay a placement fee.
Keywords: Guidehouse, Rockville , Computational Genomics Specialist - Transcriptomics, Other , Rockville, Maryland
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