Job Family: Scientific Research & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust We are seeking a Computational Biologist candidate with extensive experience in metagenomics to joi…
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$98k–$163k/yr
Full-time
postgraduate degree
Medical Insurance, Rx Insurance, Dental Insurance, Vision Insurance, Personal and Family Sick Time, Company Paid Holidays
Posted 14d ago
~40 hrs/week
Remote in United States
Responsibilities
The specialist will design and implement computational biology algorithms to process and analyze metagenomic data for NIH researchers. They will provide technical leadership, mentorship, and consultation to multidisciplinary teams of scientists and clinicians.
Requirements
Requires a Master's or PhD in computational biology or a related science with at least two publications in metagenomic methods. Candidates must have minimum two years of experience analyzing large-scale metagenomic data and proficiency in Linux and scripting languages.
Full job description
Job Family:
Scientific Research & Analysis
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
We are seeking a Computational Biologist candidate with extensive experience in metagenomics to join our Bioinformatics team at the NIH. The computational biologist will independently support –omics projects, specifically metagenomics projects as well as others as needed, initiated by researchers and clinicians at the National Institute of Allergy and Infectious Diseases (NIAID) in the National Institutes of Health (NIH). This opportunity is a full-time position with Guidehouse and can be remote or on-site at NIH in Rockville, MD.
The candidate will work within a multidisciplinary team of scientists who provide support, training, and consultation to the research community in bioinformatics and computational biosciences.
The successful candidate will have strong expertise in metagenomic methodologies, bioinformatics tools, and biostatistical approaches, including 16S rRNA gene sequencing, shotgun metagenomics, and long-read metagenomics. This individual will serve as a subject matter expert in metagenomics, providing technical leadership, mentorship, and guidance to colleagues and collaborators.
The candidate should be a highly collaborative, self-directed professional who can take ownership of projects, set priorities independently, and drive work to completion. Experience designing metagenomic studies and analyzing data using relevant scientific computing software, open-source tools and libraries, data-intensive workflows, and distributed high-performance computing systems is highly desirable.
The successful candidate must also have excellent written and verbal communication skills and be able to engage effectively with the research community to understand diverse scientific analysis and computing needs and identify appropriate solutions.
What You Will Do:
The successful candidate will work cooperatively with the current computational biology specialists to:
Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms aimed to process, analyze, manage, interpret and visualize original scientific data
Enter into scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications
Must be able to obtain and maintain a Federal or DoD “public trust”; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.
Gather detailed information from stakeholders and identify existing tools or develop novel algorithms/tools for performing custom and novel analyses
Develop, maintain, document, and deliver training materials and sessions that support collaborators and researchers in applying metagenomics methods and high-throughput data processing workflows.
Research, design, and deliver educational materials that promote broader adoption and effective use of computational biology techniques, tools, and software among NIH researchers.
Aid collaborators in the design of new study projects, providing advice, and guidance for sequencing methods and analytical or statistical considerations for meeting project goals
Provide researchers and collaborators with on-demand support and troubleshooting in the use of computational biology software and pipelines related to metagenomics and high-throughput sequencing
Stay current on computational biology literature, emerging technologies, methods, and tools.
Partner with software developers to develop and integrate metagenomics software solutions within enterprise platforms
What You Will Need:
Masters or Ph.D. in computational biology, microbiology, statistics or related life, physical, or computational sciences with at least TWO (2) publications demonstrating the use or development of metagenomic methods
Good understanding of high-throughput metagenomic technologies and techniques, bioinformatics, microbial ecology, molecular biology, and metagenomics software (e.g., QIIME2, MetaPhlan, MEGAN, Kraken, Ganon, HUMAnN, etc.)
Minimum of TWO (2) years experience in the analysis of large-scale metagenomic data (shotgun metagenomics, amplicon sequencing), metagenomics file types (FASTQ, SAM/BAM, biom, HDF5, etc.) and experienced with a broad spectrum of relevant open-source software or pipelines (DADA2, USEARCH, DIAMOND, Bowtie2, BioBakery, genomic assemblers, CheckM, etc.)
Experience working with relevant metagenomic databases and browsers and their annotations (SILVA, RDP, Greengenes, NCBI/RefSeq, IMG/M, GTDB, UHGG, etc)
Proficiency in the use of UNIX/Linux and its command-line environment, including scripting (Python, R, Bash, etc.) as well as experience with code repositories such as GitHub or Bitbucket
Proficiency in functional and taxonomic annotation of metagenomic data using enrichment and annotation tools (KEGG, eggNOG, InterProScan, Pfam, MetaCyc)
Experience with a high-performance parallel computing environment (e.g., SLURM, PBS, UGE)
Familiarity with community analyses tools (e.g. phyloseq etc), visualization tools (e.g. ggplots) as well as common methods in multivariate statistical analyses (linear mixed models, Bayesian approaches, differential abundance) and related tools (e.g. MaASLin2).
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 and evaluate new software for metagenomics analyses 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 organism and metagenomic community scales
Familiarity with problems and bottlenecks associated with storage and management of metagenomics-scale data
What Would Be Nice To Have:
Experience with one or more other omics analysis pipelines (QC, normalization, visualization, results reporting) and technologies listed below
Transcriptomics/RNA-seq (alignment, quantification, differential expression analysis; relevant R and Python libraries such as DESeq2, edgeR, Salmon, Kallisto, etc.)
Metabolomics/lipidomics (LC-MS, GC-MS, CE-MS, NMR for targeted or untargeted analysis; relevant R and Python libraries such as xcms, SpectriPy, MetaboAnalystR, pyOpenMS, Asari, pcpfm, TidyMS, lipidr, LipidMS, mixOmics, Lipydomics, LipidFinder, etc.)
Proteomics analysis (LC-MS/MS, quantitative proteomics, relevant software and open-source tools)
Proficiency in the analysis and integration of multi-omics datasets involving metagenomics (e.g., integration with other omics data such as transcriptomics, metabolomics, proteomics, genomics, etc.)
Experience constructing pipelines in open architecture platforms (e.g., Snakemake, Nextflow, R targets), including end-to-end tasks for metagenomic analysis tools
Strong background in microbiology, microbial ecology, infectious disease research, immunology, and/or environmental science, including "bench" and/or sequencing experience
The annual salary range for this position is $98,000.00-$163,000.00. 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 bonus
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities 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 RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
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.
Empowering our clients to meaningfully shape the future.
Industry
Business Consulting and Services
Company size
10,001+ employees
Headquarters
McLean, Virginia
LinkedIn followers
294,564
Total funding
$750K
Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future.
Offices: 1676 International Dr, 800, McLean, Virginia 22102, US · 1800 Tysons Blvd, McLean, Virginia 22102, US · 1000 Wilson Blvd, Suite 1400, Arlington, Virginia 22209, US · 111 Congress Ave, Suite 2500, Austin, Texas 78701, US · 125 High St, Suite 401, Boston, Massachusetts 02110, US
Based on 2387 listings with disclosed salaries, most healthcare jobs in Maryland pay between $64k–$158k per year. Individual offers vary with seniority, company size, and specialization.
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There are currently 8,406 open healthcare positions in Maryland listed on Clera. New openings are added daily as companies post roles.
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Companies currently hiring include CVS Health, University of Maryland Medical System, Luminis Health, Mercy Medical Center, Baltimore, MD, Adventist HealthCare, among others. Browse the listings above to see every active employer.
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