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Microbiome Data Scientist Jobs (NOW HIRING)

Roberts Recruiting

Senior Data Scientist

Boston, MA

The Data Scientist will analyze and model expected crop yield under various scenarios. Using large ... Use state-of-the-art machine learning tools to understand crop yields as a function of microbiome ...

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

... sciences startup focused on harnessing the power of the gut microbiome to revolutionize ... Data Engineering - contribute to the development and maintenance of cloud-based infrastructure ...

The Pennsylvania State University

$48K - $65K/yr

Experience analyzing oral microbiome datasets (16S, shotgun metagenomics, or metatranscriptomics). Advanced programming and data science skills in R, Python, or other relevant languages. Familiarity ...

UNC-Chapel Hill

Postdoctoral Fellow

Chapel Hill, NC

$41K - $56K/yr

... microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Required Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics ...

UNC-Chapel Hill

Postdoctoral Fellow

Chapel Hill, NC · On-site

$41K - $56K/yr

... microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Required Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics ...

UNC-Chapel Hill

Postdoctoral Fellow

Chapel Hill, NC · On-site

$41K - $56K/yr

... microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Required Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics ...

UNC-Chapel Hill

Postdoctoral Fellow

Chapel Hill, NC · On-site

$41K - $56K/yr

... microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Required Qualifications, Competencies, and Experience PhD in Computer Science, Bioinformatics ...

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Microbiome Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do microbiome data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for microbiome data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Will AI replace data scientists?

AI is a tool that can automate certain tasks in microbiome data science, such as data analysis and pattern recognition, but it is unlikely to fully replace data scientists. Microbiome Data Scientists bring domain expertise, interpret complex biological data, and develop models that require human judgment. AI can augment their work, making processes more efficient, but human oversight remains essential for accurate insights and decision-making.

What are the key skills and qualifications needed to thrive as a Microbiome Data Scientist, and why are they important?

To thrive as a Microbiome Data Scientist, you need a strong background in bioinformatics, microbiology, statistics, and computational biology, usually supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), experience with next-generation sequencing data analysis tools, and familiarity with databases like QIIME or mothur are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and collaborate with interdisciplinary teams. These skills ensure accurate analysis, meaningful scientific insights, and impactful contributions to research and clinical applications in microbiome science.

What does a Microbiome Data Scientist do?

A Microbiome Data Scientist specializes in analyzing complex datasets related to microbial communities, often from human, environmental, or agricultural sources. They use computational, statistical, and bioinformatics tools to interpret large-scale sequencing data, uncover patterns, and generate insights about how microbes influence health, disease, or environmental processes. Their work typically involves processing raw data, developing analytical pipelines, and collaborating with biologists and clinicians to translate findings into actionable knowledge. This role requires expertise in programming, statistics, and microbiology.

What is the highest paid job in data science?

In data science, executive roles such as Chief Data Officer or Director of Data Science tend to be the highest paid, often earning six-figure salaries or more, especially in large organizations. Specialized roles like machine learning engineers or data science leads with advanced skills in AI, deep learning, and cloud platforms also command high compensation.

What are some common challenges faced by Microbiome Data Scientists when analyzing complex biological datasets?

Microbiome Data Scientists often encounter challenges related to the high variability and complexity of biological data, such as noise, batch effects, and incomplete metadata. Integrating multi-omics datasets (e.g., metagenomics, metabolomics) and ensuring reproducibility of analyses can also be demanding. Collaborating with wet lab scientists and bioinformaticians is essential to validate findings and translate computational results into biological insights. Staying up-to-date with evolving analytical tools and best practices is crucial for success in this dynamic field.

What is the difference between Microbiome Data Scientist vs Microbiome Research Scientist?

AspectMicrobiome Data ScientistMicrobiome Research Scientist
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fieldsPhD in Microbiology, Biology, or related fields
Work EnvironmentData analysis, computational modeling, collaboration with bioinformatics teamsLaboratory research, experimental design, microbiome sample analysis
Employer & Industry UsageBiotech companies, research institutions, health tech firmsAcademic labs, research institutes, biotech firms

While both roles focus on microbiome studies, the Microbiome Data Scientist primarily analyzes data using computational methods, whereas the Microbiome Research Scientist conducts laboratory experiments and microbiome research. They often collaborate but have distinct skill sets and work environments.

How much do biological data scientists make?

Biological data scientists, including microbiome data scientists, typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in bioinformatics and machine learning can earn higher salaries, often exceeding $130,000 per year.

Is 40 too late for data science?

Age is not a barrier to becoming a microbiome data scientist, as the field values skills in bioinformatics, programming, and statistical analysis. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new tools like R or Python are key factors for success regardless of age.
More about Microbiome Data Scientist jobs
What cities are hiring for Microbiome Data Scientist jobs? Cities with the most Microbiome Data Scientist job openings:
What states have the most Microbiome Data Scientist jobs? States with the most job openings for Microbiome Data Scientist jobs include:
What job categories do people searching Microbiome Data Scientist jobs look for? The top searched job categories for Microbiome Data Scientist jobs are:
Microbiome Data Scientist jobs near you
Infographic showing various Microbiome Data Scientist job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist (SOM Pediatric Neonatology)

Data Scientist (SOM Pediatric Neonatology)

Johns Hopkins University

Baltimore, MD • On-site

$99K - $175K/yr

Full-time

Posted 4 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 200 frontline employees who took The Breakroom Quiz

225th of 872 rated healthcare providers

Job description

The School of Medicine Pediatric Neonatology is seeking a Data Scientist to support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks.
Specific Duties & Responsibilities
  • Support the development of dashboards, calculations, and reports which may require programming.
  • Support the development and tuning of machine learning models, which may require programming.
  • Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
  • Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design.
  • Perform error analysis and suggest and implement improvements.
  • Other duties as assigned.

Minimum Qualifications
  • Bachelor's Degree.
  • Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.
  • Additional education may substitute for required experience and additional related experience may substitute for required education permitted by the JHU equivalency formula. Beyond a high school diploma/graduation equivalent, to the extent

Preferred Qualifications
  • Bulk RNA-seq, single-cell transcriptomics, spatial transcriptomics, metabolomics, proteomics, and microbiome data
  • Proficiency in R and/or Python
  • Machine learning (supervised and unsupervised) and deep learning.
  • Adept in developmental environments including: RStudio, VS code, Jupyter.
  • Experience with tools such as Seurat, Scanpy, DESeq2, edgeR, Monocle, CellRanger, QIIME2, HUMAnN, or comparable platforms
  • Familiarity with Snakemake, Nextflow, or similar workflow frameworks preferred
  • Experience in medical imaging, multi-omics, and clinical data integration with the ability to deliver reproducible and efficient workflows.
  • Proficient in Python, R, SQL, Linux, and deep learning frameworks, with a strong focus on applying computational methods to solve real-world biomedical problems

Technical Skills & Expected Level of Proficiency
  • Continuous Improvement - Developing
  • Data Architecture - Developing
  • Data Management and Analysis - Developing
  • Data Tools and Platforms - Developing
  • Data Validation and Quality Assurance - Developing
  • Data Visualization - Developing
  • Machine Learning - Developing
  • Oral and written communications - Developing
  • Programming Languages - Developing

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Data Scientist I
Job Posting Title (Working Title): Data Scientist (SOM Pediatric Neonatology)
Role/Level/Range: ATP/04/PG
Starting Salary Range: $99,800 - $175,000 Annually ($99,000 targeted; Commensurate w/exp.)
Employee group: Full Time
Schedule: M-F; 8:30 to 5pm (evenings/weekends will be required)
FLSA Status: Exempt
Location: Hybrid/School of Medicine Campus
Department name: SOM Ped NICU
Personnel area: School of Medicine

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