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Microbiome Bioinformatics Jobs (NOW HIRING)

... bioinformatics, systems biology, microbiology) * 3+ years of full-time, relevant experience ... Experience with microbiome data analysis (e.g., 16S, shotgun metagenomics) is highly desirable

$60K - $60K/yr

... bioinformatics, systems biology, microbiology) * 3+ years of full-time, relevant experience ... Experience with microbiome data analysis (e.g., 16S, shotgun metagenomics) is highly desirable

Bioinformaticist

Columbus, OH · On-site

$86K - $123K/yr

... microbiome efforts. * Perform analyses in a transparent manner and to clearly communicate analysis ... Degree must be in bioinformatics, biology, genetics, computer science, mathematics, or a related ...

$48K - $65K/yr

Analyze oral microbiome data from NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models ...

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Microbiome Bioinformatics information

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$49K

$203.5K

$400K

How much do microbiome bioinformatics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for microbiome bioinformatics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is microbiome bioinformatics?

Microbiome bioinformatics is a specialized field that combines computational tools and biological knowledge to analyze and interpret data about microbial communities, such as bacteria, viruses, and fungi, found in environments like the human gut, soil, or oceans. Professionals in this area use techniques like DNA sequencing, metagenomics, and statistical modeling to study how these microbial communities function and interact. The insights gained can inform research in health, agriculture, environmental science, and more. This interdisciplinary field requires knowledge of biology, computer science, and statistics.

What are the key skills and qualifications needed to thrive as a microbiome bioinformatics specialist?

To thrive as a Microbiome Bioinformatics Specialist, you need a strong background in biology, microbiology, statistics, and computational analysis, often supported by an advanced degree in bioinformatics or a related field. Familiarity with programming languages (such as Python or R), command-line tools, sequencing data analysis software, and platforms like QIIME2 or Mothur is typically required. Attention to detail, problem-solving abilities, and effective communication skills help professionals interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for accurately analyzing microbial datasets and delivering actionable scientific insights that drive research and innovation.

What are some common challenges encountered when analyzing microbiome data as a bioinformatician?

One common challenge in microbiome bioinformatics is managing and interpreting large, complex datasets that often contain high levels of noise and variability. Bioinformaticians must carefully select appropriate pipelines and statistical methods to ensure accurate results, as choices in preprocessing, normalization, and taxonomic assignment can significantly impact findings. Additionally, integrating multi-omics data (like metagenomics, metatranscriptomics, or metabolomics) can be technically demanding and requires collaboration with wet lab scientists and statisticians. Staying current with rapidly evolving tools and databases is also crucial for producing robust analyses.

What is the difference between Microbiome Bioinformatics vs Microbial Genomics Specialist?

AspectMicrobiome BioinformaticsMicrobial Genomics Specialist
Required CredentialsBSc/MSc in Bioinformatics, Microbiology, or related fieldsBSc/MSc in Microbiology, Genomics, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, biotech firms, genomics centers
Industry UsageAnalyzing microbiome data, ecological studiesGenomic sequencing, microbial genome analysis
Common Search/ComparisonYesYes

Microbiome Bioinformatics focuses on analyzing microbial communities within environments or hosts, emphasizing ecological and functional insights. In contrast, Microbial Genomics Specialists primarily work on sequencing and analyzing individual microbial genomes. Both roles require bioinformatics skills and often overlap in research settings, but their core focus areas differ—microbiome bioinformatics centers on community-level data, while microbial genomics emphasizes genome-level analysis.

What are the available jobs in gut microbiome bioinformatics?

Jobs in gut microbiome bioinformatics include roles such as bioinformatics analyst, research scientist, and computational biologist, focusing on analyzing microbiome sequencing data and developing algorithms. These positions often require skills in programming, data analysis, and familiarity with microbiome research tools like QIIME or MetaPhlAn. Opportunities are available in academic, biotech, and pharmaceutical sectors, with some roles requiring advanced degrees and experience in microbiology or bioinformatics.
Infographic showing various Microbiome Bioinformatics job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Postdoctoral Fellow - Epidemiology & Urogenital Microbiome

Baltimore, MD • On-site

University of Maryland, Baltimore
Colleges, Universities, and Professional Schools • 1 - 5K employees

$48K - $66K/yr

Full-time

Re-posted 3 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

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Job description

Job Description
Postdoctoral Fellow - Epidemiology & Urogenital Microbiome
University of Maryland School of Medicine
Institute for Genome Sciences (IGS)
Center for Advanced Microbiome Research and Innovation (CAMRI)
The Laboratory is seeking a Postdoctoral Fellow in Epidemiology to join an NIH-funded study investigating the natural history of Mycoplasma genitalium (MG), an emerging and highly drug-resistant reproductive tract pathogen. Although MG is increasingly recognized as a cause of serious gynecologic disease, key questions about its natural history, persistence, and clinical outcomes in women remain unanswered.
The fellow will leverage extensive omics data and specimens from the NIH Longitudinal Study of Vaginal Flora, a cohort of 3,620 women followed quarterly, with more than 13,000 archived cervicovaginal specimens and detailed longitudinal clinical data, including standardized symptom assessments and pelvic examinations.
The project will examine:
How often asymptomatic, untreated MG progresses to cervicitis, pelvic inflammatory disease, and other clinical syndrome
Whether MG is independently associated with these outcomes after accounting for co-infection
How the vaginal microbiome and immune response influence progression to symptomatic disease versus spontaneous clearance
This position offers substantial opportunities to lead first-author publications, present research at national and international scientific conferences, contribute to grant development, and build an independent research program at the intersection of epidemiology, infectious diseases, microbiome science, and women's health.
Responsibilities
  • Conduct epidemiologic and statistical analyses of longitudinal clinical and high-dimensional microbiome data
  • Apply and develop methods for multi-omic data integration, including metagenomic and immune-profiling data
  • Interpret findings within epidemiologic and biological frameworks
  • Lead first-author manuscripts and co-author publications in high-impact peer-reviewed journals
  • Present research at national and international scientific meetings
  • Collaborate closely with epidemiologists, statisticians, bioinformaticians, and laboratory scientists
  • Contribute to study design, analytic plans, and grant development

Qualifications
  • PhD, ScD, or equivalent doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field
  • Strong quantitative and statistical skills, with proficiency in R or Python
  • Experience analyzing longitudinal, infectious disease, clinical, or high-dimensional data
  • Demonstrated record of peer-reviewed publications
  • Strong scientific writing skills and the ability to translate complex analyses into clear scientific narratives
  • Interest in microbiome science and women's health
  • Experience with microbiome or multi-omic data analysis, causal inference methods, or infectious disease epidemiology is preferred but not required

Research and Training Environment
The fellow will join a collaborative, intellectually rigorous, and mission-driven research environment that brings together expertise in women's health, epidemiology, biostatistics, genomics, bioinformatics, microbiology, and immunology. The position provides access to deeply characterized longitudinal cohorts, curated biospecimen repositories, and state-of-the-art genomic and computational infrastructure. Through mentorship, grant writing, and participation in future observational and interventional studies, the fellow will receive strong support in developing an independent research career.
Application
Interested applicants should submit:
  • Curriculum vitae
  • A brief statement of research interests and relevant experience
  • Contact information for three references

Applications will be reviewed on a rolling basis until the position is filled.

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