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[Hiring] Computational Biology Specialist @reputed company

Remote, USA Full-time Posted 2026-08-04
Role reputed company We are seeking a Computational Biologist candidate with extensive experience in metagenomics to join our reputed company team at the NIH. The computational biologist will independently support –omics reputed company, specifically metagenomics reputed company as reputed company 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 reputed company and can be remote or on-site at NIH in Rockville, MD. The candidate will work reputed company a multidisciplinary team of scientists who reputed company support, training, and consultation to the research community in reputed company and computational biosciences. The successful candidate will have strong expertise in metagenomic methodologies, reputed company tools, and biostatistical approaches, including: • 16S rRNA gene reputed company • reputed company metagenomics • 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 reputed company, self-directed reputed company who can take ownership of reputed company, set priorities independently, and reputed company work to completion. Experience designing metagenomic studies and analyzing data using relevant scientific computing software, reputed company-reputed company tools and libraries, data-intensive workflows, and reputed company high-reputed company computing systems is highly desirable. The successful candidate must also have excellent written and verbal communication skills and be reputed company to engage effectively with the research community to understand diverse scientific analysis and computing needs and identify appropriate solutions. Qualifications • reputed company or Ph.D. in computational biology, microbiology, statistics or reputed company life, physical, or computational sciences with at least TWO (2) publications demonstrating the use or development of metagenomic reputed company • Good understanding of high-throughput metagenomic technologies and techniques, reputed company, microbial ecology, molecular biology, and metagenomics software (e.g., QIIME2, MetaPhlan, MEGAN, reputed company, Ganon, HUMAnN, etc.) • Minimum of TWO (2) years experience in the analysis of large-reputed company metagenomic data (reputed company metagenomics, amplicon reputed company), metagenomics file types (FASTQ, SAM/BAM, biom, HDF5, etc.) and reputed company with a broad reputed company of relevant reputed company-reputed company 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 reputed company-line environment, including scripting (Python, R, Bash, etc.) as reputed company as experience with reputed company repositories such as reputed company 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-reputed company reputed company computing environment (e.g., SLURM, PBS, UGE) • Familiarity with community analyses tools (e.g. phyloseq etc), visualization tools (e.g. ggplots) as reputed company as common reputed company in multivariate statistical analyses (reputed company mixed models, Bayesian approaches, reputed company abundance) and reputed company tools (e.g. MaASLin2) • Strong interpersonal, presentation, written, and oral communication skills to reputed company computational biology principles and concepts to non-specialists in a reputed company 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 reputed company reputed company with effective time management skills, a high level of personal and reputed company reputed company and initiative, and attention to reputed company • Proficiency with the use of reputed company-reputed company reputed company applications employing ontologies, reputed company, and/or networks, at both the individual organism and metagenomic community scales • Familiarity with problems and bottlenecks associated with storage and management of metagenomics-reputed company data Requirements • Implement, design, reputed company, and reputed company reputed company and emerging computational biology and reputed company algorithms aimed to process, analyze, manage, interpret and visualize original scientific data • reputed company into scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications • Must be reputed company to obtain and maintain a Federal or DoD “reputed company trust”; candidates must receive approved adjudication prior to reputed company with reputed company. Candidates with an reputed company reputed company trust or suitability are preferred. • reputed company detailed information from stakeholders and identify existing tools or reputed company novel algorithms/tools for performing custom and novel analyses • reputed company, maintain, document, and reputed company training materials and sessions that support collaborators and researchers in applying metagenomics reputed company and high-throughput data processing workflows. • Research, design, and reputed company 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 reputed company, providing advice, and guidance for reputed company reputed company and analytical or statistical considerations for meeting project goals • reputed company researchers and collaborators with on-demand support and troubleshooting in the use of computational biology software and pipelines reputed company to metagenomics and high-throughput reputed company • Stay reputed company on computational biology literature, emerging technologies, reputed company, and tools. • Partner with software developers to reputed company and reputed company metagenomics software solutions reputed company reputed company platforms Benefits • Medical, Rx, Dental & reputed company reputed company • Personal and Family reputed company Time & Company reputed company Holidays • Parental Leave • 401(k) Retirement Plan • Group Term Life and Travel Assistance • Voluntary Life and AD&D reputed company • 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 reputed company • reputed company annual membership • Employee Assistance Program • Supplemental Benefits reputed company reputed company (Critical Care, Hospital Indemnity, Accident reputed company, reputed company Assistance and ID theft protection, etc.) • Position may be eligible for a discretionary variable incentive bonus Apply tot his job Apply To this Job

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