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$24.7K

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How much do postdoc in microbial genomics jobs pay per year?

As of Jun 25, 2026, the average yearly pay for postdoc in microbial genomics in Dallas, TX is $58,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $65,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by postdocs in microbial genomics, and how can they be managed?

Postdocs in microbial genomics often encounter challenges such as troubleshooting complex sequencing data, managing large datasets, and keeping pace with rapidly evolving bioinformatics tools. Successfully addressing these issues requires strong analytical skills, continual learning, and collaboration with computational experts and wet-lab scientists. Building a supportive network within your research group and attending workshops or seminars can help you stay updated and develop effective problem-solving strategies.

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

To excel as a Postdoc in Microbial Genomics, you need a PhD in microbiology, genomics, or a related field, with strong expertise in molecular biology and bioinformatics. Familiarity with next-generation sequencing platforms, genome assembly software, and data analysis tools such as Python, R, and relevant databases is typically required. Excellent problem-solving, communication, and collaboration skills help with research dissemination and working within multidisciplinary teams. These abilities are crucial for advancing scientific understanding, publishing impactful research, and contributing to innovative projects in microbial genomics.

What does a Postdoc in Microbial Genomics do?

A Postdoc in Microbial Genomics conducts advanced research on the genetics and functions of microorganisms such as bacteria, archaea, or viruses. This role often involves designing experiments, analyzing genomic data, and interpreting results to better understand microbial evolution, diversity, and interactions with their environments. Postdocs may also contribute to scientific publications, collaborate with interdisciplinary teams, and mentor graduate or undergraduate students. Their work can have applications in medicine, agriculture, environmental science, and biotechnology.
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Postdoc In Microbial Genomics jobs near you
Infographic showing various Postdoc In Microbial Genomics job openings in Dallas, TX as of June 2026, with employment types broken down into 1% Locum Tenens, 6% Full Time, 92% Part Time, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $58,386 per year, or $28.1 per hour.
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 • On-site

Full-time

Posted 16 days ago

UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

107th of 875 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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