Accountabilities:

• Design, develop, and implement computational biology algorithms, workflows, and analytical approaches to process, analyze, manage, interpret, and visualize scientific data.
• Serve as a metagenomics subject matter expert, providing technical leadership and guidance on sequencing strategies, analytical methods, and computational approaches.
• Support researchers and clinicians by designing metagenomic studies, advising on experimental approaches, and identifying appropriate bioinformatics solutions to meet scientific objectives.
• Analyze large-scale metagenomic datasets, including shotgun metagenomics and amplicon sequencing data, using advanced computational tools and statistical methodologies.
• Develop, maintain, document, and deliver training materials and educational sessions that enable researchers to effectively use bioinformatics tools, pipelines, and high-throughput data processing workflows.
• Provide consultation, troubleshooting, and technical support for computational biology software, metagenomics pipelines, and data analysis challenges.
• Collaborate with software developers to design and integrate metagenomics solutions into enterprise platforms and scientific computing environments.
• Research emerging computational biology technologies, methodologies, and scientific literature to continuously improve analytical capabilities.
• Partner with multidisciplinary teams of scientists, physicians, and technical experts to support research collaborations, publications, and scientific innovation.
• Manage multiple complex projects independently while maintaining strong communication, organization, and attention to detail.

Requirements:

• Master's or Ph.D. degree in Computational Biology, Microbiology, Statistics, Bioinformatics, or a related life, physical, or computational science discipline.
• At least two publications demonstrating the use or development of metagenomic methods.
• Minimum of two years of experience analyzing large-scale metagenomic datasets, including shotgun metagenomics and amplicon sequencing workflows.
• Strong expertise in metagenomic technologies, microbial ecology, molecular biology, bioinformatics methods, and relevant analytical tools.
• Experience with metagenomics software and pipelines such as QIIME2, MetaPhlAn, MEGAN, Kraken, Ganon, HUMAnN, DADA2, USEARCH, DIAMOND, Bowtie2, BioBakery, genomic assemblers, and related tools.
• Proficiency working with metagenomic file formats including FASTQ, SAM/BAM, BIOM, and HDF5, as well as relevant databases such as SILVA, RDP, Greengenes, NCBI/RefSeq, IMG/M, GTDB, and UHGG.
• Strong programming and scripting skills using environments such as Python, R, and Bash, with experience using UNIX/Linux command-line tools and code repositories such as GitHub or Bitbucket.
• Experience with functional and taxonomic annotation methods using tools and databases including KEGG, eggNOG, InterProScan, Pfam, and MetaCyc.
• Familiarity with high-performance computing environments such as SLURM, PBS, or UGE, along with experience managing large-scale scientific datasets.
• Knowledge of statistical analysis methods, including multivariate analysis, differential abundance testing, Bayesian approaches, linear mixed models, and tools such as phyloseq, ggplot, and MaAsLin2.
• Strong written, verbal, and presentation skills with the ability to communicate complex computational concepts to both technical and non-technical audiences.
• Ability to work independently and collaboratively within multidisciplinary scientific teams while managing multiple priorities.
• Ability to obtain and maintain required public trust clearance.

Preferred qualifications include:

• Experience with additional omics workflows, including transcriptomics, metabolomics, lipidomics, proteomics, or multi-omics integration.
• Experience developing reproducible bioinformatics pipelines using tools such as Snakemake, Nextflow, or R targets.
• Background in microbiology, infectious disease research, immunology, environmental science, or related fields, including laboratory or sequencing experience.
• Experience integrating metagenomic datasets with other biological data types to support advanced scientific analysis.

Benefits:

• Competitive annual salary range of $98,000–$163,000 USD, depending on skills, experience, training, certifications, and organizational needs.
• Comprehensive medical, prescription, dental, and vision insurance coverage.
• Flexible benefits package designed to support employee health, wellbeing, and work-life balance.
• Paid holidays, personal and family sick time, and parental leave.
• 401(k) retirement plan.
• Life insurance, travel assistance, and optional additional insurance programs.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
• Short-term and long-term disability coverage.
• Tuition reimbursement and opportunities for certifications, professional development, and continuous learning.
• Employee referral program and company-sponsored events.
• Community outreach and engagement opportunities.
• Employee assistance programs and additional wellness benefits.
• Potential eligibility for discretionary variable incentive bonuses.
• Remote work flexibility within the United States.