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Microbiome Data Scientist Jobs (NOW HIRING)

... sciences startup focused on harnessing the power of the gut microbiome to revolutionize ... data from raw shotgun metagenomic sequencing data. • contribute to the development and ...

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 ...

$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 ...

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 ...

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 Jul 27, 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 in 2050?

As a microbiome data scientist, AI is expected to augment rather than replace the role, automating routine tasks and enabling more complex analysis. Human expertise in designing experiments, interpreting biological data, and understanding microbiome interactions remains essential for advancing research. Continuous learning of tools like machine learning algorithms and bioinformatics software will be important for future job success.

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 Architects with advanced skills and certifications can also command top salaries in the field.

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 transition into data science later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new tools like Python or R 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:
Infographic showing various Microbiome Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Scientist, Microbiome Data Science & Bioinformatics

Ferring Pharmaceuticals

Roseville, MN • On-site

$115K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Job Description:
As a privately-owned, biopharmaceutical company, Ferring pioneers and delivers life-changing therapies that help people build families and live better lives. Our independence helps us cultivate an entrepreneurial spirit and long-term perspective that enables us to achieve growth and scale, while remaining agile and true to our 'people first' philosophy. Built on a 70-year plus commitment to science and research, Ferring is relentless in its pursuit of science that drives powerful discoveries and therapies to help people build families, stay healthy, and stand up to the world's oldest enemy: disease.
The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysis approaches and create novel analytical methods. We are looking for someone who enjoys a fast-paced environment, effectively collaborates with others, and who can apply their expertise to fuel biological discoveries and analytical advancement.
With Ferring, you will be joining a recognized leader, identified as one of "The World's Most Innovative Companies" by Fast Company, and honored by Fortune with inclusion on its "Change the World List," for addressing society's unmet needs. Ferring US is also Great Places to Work® Certified, distinguishing it as one of the best companies to work for in the country.
Responsibilities:
  • Lead qualitative and quantitative human microbiome research, including data mining, data analyses, and interpretation of findings from clinical trials and research studies that align with company goals
  • Create, curate and maintain datasets, databases and resources for annotation and use of complex omics data
  • Lead integrated data mining and translation of bioinformatic insights for R&D, pre-clinical and clinical initiatives
  • Conceptualize, building, test, and benchmark gold standard and novel bioinformatic methods
  • Use and improve continuous deployment models, containerization, cloud computing, and agile practices
  • Independently achieve project-specific deliverables with stakeholders (internal and external) through collaboration, requirements gathering, and timeline management
  • Contribute to publications in peer-reviewed journals, as well as any methodological innovations
  • Effectively present and defend scientific work in the form of internal and external presentations
  • Critically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisions
  • Continuously learn in the fields of bioinformatics, computer science and biology including the latest methodologies, techniques, and resources

Requirements:
  • Advanced degree (e.g. MS or Ph.D.) in bioinformatics, genomics, biostatistics or related biological field
  • Minimum of one year of experience in the field of omics sciences, preferably the microbiome
  • Proficiency in developing, deploying, and running cloud-based bioinformatic workflows
  • Proven experience in Linux, AWS, coding in Python and R
  • Excellent writing, communication, and other organizational skills including documentation & data organization
  • Proven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other -omes

Ferring + you
At Ferring, we offer competitive total compensation along with an exceptional range of flexible benefits, personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work. From working hours that respect your lifestyle, a culture that is welcoming and equitable, and the chance to work with the industry's most impressive people, these are just some of the ways we live our "People First" philosophy.
Our Compensation and Benefits
At Ferring, base salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $115,000 to $152,000, which is the reasonable estimate of the base compensation for this role. The actual amount paid may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, education and primary work location. Additional compensation for this role will be provided based on competitive annual incentive compensation targets in the form of an annual bonus - payouts are based on individual and company performance.
Benefits for this role include comprehensive healthcare (medical, dental, and vision) with a premium differential, inverse to base salary, to be paid by employees, a 401k plan and company match, short and long-term disability coverage, basic life insurance, wellness benefits, reimbursement for certain tuition expenses, sick time of 1 hour per 30 hours worked, vacation time for full time employees to accrue up to 120 hours in the first four (4) years of employment, and 160 hours in the fifth (5th) year of employment as well as 15 paid holidays per year. We are proud to offer paid parental leave subject to a minimum period of employment at Ferring.
Ferring is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local laws.
Join our team and your voice will be heard, and your contributions will be valued. If you love to come up with new ways to make a positive difference and see them through, you will fit right in.
We are proud to be an Affirmative Action/Equal Opportunity Employer (including Disability/Protected Veterans). We maintain a drug-free workplace.
Location:
Roseville, Minnesota