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Microbial Bioinformatics Jobs (NOW HIRING)

eTeam

Microbiologist

Wildwood, MO · On-site

Perform microbial strain isolation, culturing, and testing. * Conduct DNA extraction from diverse ... Proficiency in bioinformatics Reason for Hire: to support business critical activities in gene ...

Syracuse University

Research Technician

Syracuse, NY · On-site

$17.30 - $20.19/hr

Setting up ecological experiments with microbial cultures. * Performing DNA/RNA extractions from cultures and environmental samples. * Running established bioinformatics pipelines associated with ...

MIT Human Resources

Research Scientist 1

Cambridge, MA · On-site

... bioinformatics to support platform development. This role focuses on advancing methods for detecting adventitious agents (AAs), including microbial and viral contaminants, within continuous EV ...

The Pennsylvania State University

$48K - $65K/yr

Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess associations between microbial composition, oral health status, race/ethnicity, and broader measures ...

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$59.5K

$94.5K

$149.5K

How much do microbial bioinformatics jobs pay per year?

As of Jun 5, 2026, the average yearly pay for microbial bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in microbial bioinformatics, and how can they be addressed?

Professionals in microbial bioinformatics often encounter challenges such as handling large, complex datasets, ensuring data quality, and keeping up with rapidly evolving bioinformatics tools and technologies. Collaborating closely with wet-lab scientists and other bioinformaticians is crucial to accurately interpret results and tailor analyses to specific research questions. Staying up to date through continued education and active participation in bioinformatics communities can help address these challenges and support career growth in this dynamic field.

What are the key skills and qualifications needed to thrive as a Microbial Bioinformatician, and why are they important?

To thrive as a Microbial Bioinformatician, you need a solid background in microbiology, genomics, and computational biology, typically supported by an advanced degree in bioinformatics, microbiology, or a related field. Proficiency with programming languages (such as Python, R), bioinformatics tools (like QIIME, BLAST, or MEGA), and familiarity with high-throughput sequencing data analysis are essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in microbial research.

What is the difference between Microbial Bioinformatics vs Microbial Genomics?

AspectMicrobial BioinformaticsMicrobial Genomics
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; proficiency in programmingBachelor's or Master's in Genomics, Molecular Biology, or related fields; laboratory experience
Work EnvironmentData analysis, computational labs, research institutionsLaboratories, research institutions, sequencing centers
Employer & Industry UsageBiotech, academia, healthcare, research institutesGenomics companies, biotech, academic research

Microbial Bioinformatics focuses on analyzing microbial genetic data using computational tools, while Microbial Genomics involves sequencing and studying microbial genomes in laboratory settings. Both roles often overlap but differ mainly in their emphasis on data analysis versus laboratory work.

What is microbial bioinformatics?

Microbial bioinformatics is a scientific field that combines biology, computer science, and statistics to analyze and interpret the genetic information of microorganisms, such as bacteria, viruses, and fungi. Specialists in microbial bioinformatics use computational tools to study microbial genomes, understand microbial diversity, and track the spread of pathogens. This field plays a vital role in medical research, public health, biotechnology, and environmental studies by enabling researchers to make sense of large-scale microbial data. It helps in identifying new species, understanding antibiotic resistance, and developing new diagnostics and treatments.
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Microbial Bioinformatics jobs near you
Assistant Professor/Associate Professor Tenure Track Faculty in Systems Biology

Assistant Professor/Associate Professor Tenure Track Faculty in Systems Biology

UT Southwestern Medical Center

Dallas, TX

Full-time

Posted 24 days ago

UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

102nd of 865 rated healthcare providers

Job description

The Cecil H. and Ida Green Center for Systems Biology within the Lyda Hill Department of Bioinformatics at UT Southwestern ­Medical Center is looking to expand its research program in microbial systems biology. We seek tenure-track faculty candidates at the level of Assistant Professor with interests in microbial genetics, microbial physiology, synthetic biology, microbial metabolism, and/or microbial evolution. Applicants with experience in projects that combine quantitative high-throughput experimentation with theory and/or informatics elements would be highly suitable.


Embedded in the Department of Bioinformatics, the Center aims to discover and understand a circuit theory for biology - a set of powerful, predictive principles that can provide insight into how biological components are wired as a network to achieve complex functionalities. Center faculty collaborate closely with Bioinformatics and Computational experts in genomics, machine learning/AI, and statistical physics. The Center also houses one of the leading national hubs in quantitative light microscopy development. The University of Texas Southwestern Medical Center offers over 40 core facilities in cryo-electron microscopy, metabolomics, crystallographic structure determination, high-throughput small molecule screening, high resolution microscopy, and next-generation sequencing. As part of a large academic medical center, our Center presents abundant potential for collaboration with clinicians and access to clinical data and isolates.
The successful applicant will receive a highly competitive start up package.

Qualifications

A Ph.D. and significant research experience as a postdoctoral fellow in Biochemistry, Computational Biology, Microbiology, Systems Biology, Quantitative Biology or related fields is required.
It is expected that applicants will have a strong research track record as evidenced by publications and preprints.  
Demonstrated experience with acquiring funding is a plus.

Application Instructions

To apply, please submit the following:

·         Cover Letter

·         Updated CV

·         A description of current research and future scientific vision (restricted to maximum 3 pages)

·         3 letters of recommendation

Inquiries regarding this position should be directed to Dr. Kimberly Reynolds

Consideration may be given to applicants seeking less than a full-time schedule. Appointment rank will be commensurate with academic accomplishments and experience. 

To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/ 

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community.  As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. 

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