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Microbiome Machine Learning Jobs (NOW HIRING)

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$72K - $80K/yr

... microbiome data; • Analyzing massive electronic medical record data; • Analyzing irregular time course data from mobile health studies; • Scalable machine-learning/deep-learning methodology ...

Probi AB

Production Machine Operator I

Lafayette, CO · On-site

$20 - $21/hr

... gut microbiome, helping them live healthier, longer lives. Founded in 1991 in Sweden, Probi has ... Learning and Development Opportunities * Monthly birthday and anniversary celebrations. * Team ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$72K - $80K/yr

... microbiome data; • Analyzing massive electronic medical record data; • Analyzing irregular time course data from mobile health studies; • Scalable machine-learning/deep-learning methodology ...

Probi

Production Machine Operator I

Lafayette, CO · On-site

$17.25 - $22/hr

... gut microbiome, helping them live healthier, longer lives. Founded in 1991 in Sweden, Probi has ... Learning and Development Opportunities * Monthly birthday and anniversary celebrations. * Team ...

Probi

Production Machine Operator I

Lafayette, CO · On-site

... gut microbiome, helping them live healthier, longer lives. Founded in 1991 in Sweden, Probi has ... Learning and Development Opportunities * Monthly birthday and anniversary celebrations. * Team ...

Morehouse School of Medicine

Postdoctoral Fellow

Atlanta, GA · On-site

$47K - $63K/yr

... machine learning/AI applications. • Experience with CRISPR techniques; microbiome experiments and analysis; advanced statistical analysis and data visualization. Closing Date Open Until Filled No ...

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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.
Associate Staff - Computational Biologist

Associate Staff - Computational Biologist

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Group 22-Counter Weapons of Mass Destruction (C-WMD) Systems Group.
The Counter-WMD Systems Group at MIT Lincoln Laboratory is seeking a highly motivated and multidisciplinary biologist to support research and development efforts focused on national security challenges. We are looking for an individual with expertise in computational biology and data science who can contribute to our mission of developing advanced technologies to counter weapons of mass destruction
Job Description
Key Responsibilities:
  • Assist and / or lead projects involving the analysis of complex biological datasets, including next-generation sequencing and metagenomic data.
  • Apply state-of-the-art computational tools and algorithms, including machine learning and AI models, to biological questions related to multi-omics, immunology, and microbiome research.
  • Assist with laboratory experiments to generate and validate biological data.
  • Collaborate with a multidisciplinary team to solve broad and challenging problems in biodefense.

Required Qualifications:
  • Master's degree (or Bachelor's degree plus three years of work experience) in Bioengineering, Computational Biology, Bioinformatics, Molecular Biology, Data Science or a related field, or a Computer Science degree with extensive biology experience.
  • Expertise in computational biology and bioinformatics, with proficiency in programming languages such as Python, R, or similar.
  • Experience with state-of-the-art AI and machine learning approaches for biological data analysis.
  • Excellent problem-solving skills and the ability to work independently and in collaborative, multidisciplinary environments.
  • Experience designing, conducting, and interpreting the results of laboratory experiments
  • Effective written and verbal communication skills.
  • Ability to apply systems-level thinking to holistic biodefense solutions.

Valued Experience
Valued Experience:
  • High-performance computing, bioinformatics, and data analytics
  • Biosurveillance (e.g., epidemiology, physiological monitoring, environmental sampling)
  • Medical countermeasure / pharmaceutical development
  • Experience with genetic and/or protein language models
  • Willing to obtain and maintain a Top Secret level DoD security clearance

Recent Graduate Hiring Range: $116,400 - $140,000
Experienced Hiring Range: $116,400 - $182,200
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 42991

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