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Microbiome Machine Learning Jobs (NOW HIRING)

Roberts Recruiting

Senior Data Scientist

Boston, MA

Use state-of-the-art machine learning tools to understand crop yields as a function of microbiome, crop, planting conditions, soil, weather, farm treatments, and farm conditions * Produce compelling ...

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How much do microbiome machine learning jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for microbiome machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Microbiome Machine Learning Specialist, and why are they important?

To thrive as a Microbiome Machine Learning Specialist, you need a strong background in bioinformatics, microbiology, statistics, and proficiency in programming languages such as Python or R, typically supported by an advanced degree in a related field. Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow), data visualization tools, and experience with microbiome analysis pipelines are crucial. Strong problem-solving abilities, attention to detail, and effective interdisciplinary communication skills help you collaborate with researchers and translate complex data into actionable insights. These skills are essential for accurately analyzing large-scale biological datasets and contributing to advancements in microbiome research and applications.

How do professionals in microbiome machine learning typically collaborate with biologists and clinicians during research projects?

Professionals in microbiome machine learning often work closely with biologists and clinicians by translating complex biological questions into computational models and interpreting the results in a meaningful biological context. Regular meetings and interdisciplinary workshops are common, ensuring that machine learning practitioners understand the experimental design, data sources, and clinical relevance. Successful collaboration requires clear communication, as well as a willingness to iterate on analytical approaches based on feedback from domain experts. This teamwork leads to more robust discoveries and the practical application of machine learning insights in microbiome research.

What is a Microbiome Machine Learning specialist?

A Microbiome Machine Learning specialist is a professional who applies machine learning and data science techniques to analyze and interpret complex datasets related to microbial communities (microbiomes). These specialists work at the intersection of computational biology, microbiology, and artificial intelligence to uncover patterns, predict outcomes, and derive insights from microbiome data. Their work often contributes to advancements in healthcare, agriculture, and environmental science by helping to understand how microbial populations affect health and ecosystems.

What is the difference between Microbiome Machine Learning vs Microbiome Data Analyst?

AspectMicrobiome Machine LearningMicrobiome Data Analyst
Required CredentialsBackground in machine learning, data science, biologyBackground in biology, data analysis, statistics
Work EnvironmentResearch labs, biotech companies, academiaResearch institutions, healthcare, biotech firms
Industry UsageDeveloping predictive models, algorithms for microbiome dataAnalyzing microbiome datasets, reporting findings

Microbiome Machine Learning specialists focus on developing algorithms and models to interpret microbiome data, often requiring advanced programming and machine learning skills. In contrast, Microbiome Data Analysts primarily interpret and visualize microbiome datasets, emphasizing statistical analysis. Both roles are vital in microbiome research but differ in technical depth and focus areas.

Infographic showing various Microbiome Machine Learning job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Postdoctoral Fellow in Bioinformatics

Postdoctoral Fellow in Bioinformatics

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 16 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

213th of 532 rated colleges and universities

Job description

Job Description
The at the University of Maryland School of Medicine, within the is recruiting a postdoctoral fellow to join our interdisciplinary team studying the gut microbiome's role in immune tolerance development. Our lab integrates multi-omics microbiome analyses, microbial genetics, experimental models, and clinical cohorts to investigate mechanisms by which early-life gut microbial metabolism shapes host immunity.
The successful candidate will generate, analyze, and integrate multi-omics microbiome datasets, including shotgun metagenomics, 16S rRNA sequencing, single-cell transcriptomics, and proteomics/metabolomics. The overarching goal of the project is to investigate how early-life diet shapes the functional capacity of the gut microbiome and how these microbial functions are associated with the development of childhood allergic diseases. The candidate will develop machine learning-based biomarker prediction models to identify microbiome-derived signatures associated with allergy risk and immune tolerance outcomes.
Qualifications
Preferred Skills
  • Analysis of shotgun metagenomics sequencing and metabolomics data
  • Integration of single-cell RNA-seq with proteomic and metabolomic datasets
  • Application of machine learning and AI approaches to microbiome data
  • Harmonization and management of clinical metadata across cohorts
  • Integration of clinical and multi-omic datasets to uncover microbiome-host interactions
  • Strong statistical skills in Python and/or R
  • Experience with cloud computing and high-performance computing environments

Ideal Candidate Profile
We are seeking a computational biologist, biostatistician or bioinformatician with strong quantitative and programming expertise and a demonstrated interest in applying AI and machine learning approaches to complex biological systems.
What We Offer
-Access to clinical samples from well-characterized pediatric cohorts.
-Collaborative environment across CAMRI and IGS.
-Access to Maryland Genomics Resources and Trainings.
-Cutting-edge tools in multi-omics and host-microbe interactions.
To apply, please send a CV to .
The University of Maryland, Baltimore is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law. If you need a reasonable accommodation for a disability, for any part of the employment process, please contact us at HRJobs@umaryland.edu and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

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