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Postdoc In Microbial Genomics Jobs in Seattle, WA

Karius

Clinical Sales Manager (Seattle)

Seattle, WA

... of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the ...

Karius

Clinical Sales Manager (Seattle)

Seattle, WA · Remote

... of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the ...

Karius

Clinical Sales Manager (Seattle)

Seattle, WA · On-site +1

... of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the ...

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Postdoc In Microbial Genomics information

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$28.5K

$67.2K

$95K

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

As of Aug 29, 2026, the average yearly pay for postdoc in microbial genomics in Seattle, WA is $67,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $75,700.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a postdoc in microbial genomics?

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 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.

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Postdoc In Microbial Genomics jobs near you
Infographic showing various Postdoc In Microbial Genomics job openings in Seattle, WA as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 16% Full Time, 80% Part Time, and 1% Temporary. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $67,168 per year, or $32.3 per hour.

Postdoctoral Scholar - Statistical Diversity Lab

Seattle, WA • On-site

University of Washington
Colleges, Universities, and Professional Schools • 10K+ employees

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$84K/yr

Full-time

Re-posted 7 days ago

Job description

Description
The Department of Biostatistics at the University of Washington has an outstanding opportunity for a Postdoctoral Scholar.
The Statistical Diversity Lab, led by Dr. Amy Willis, is one of the most respected international groups developing methods for the analysis of microbiome data (https://statdivlab.github.io/). The StatDivLab develops cutting-edge statistical methodology to address the most important methodological needs of microbiome scientists. Software, outreach and training complement their research mission.
The StatDivLab is seeking a Postdoctoral Scholar with PhD-level training and research experience in either Statistical Methodology or Microbial Bioinformatics. Please see below for expected qualifications.
The research project undertaken by the Postdoctoral Scholar will be tailored to the background and interests of the candidate, with possible projects in methods for emerging experimental designs (e.g. absolute quantification through spike-ins; multi-omic datasets), microbial phylogenetics, variable importance, model selection, trait prediction, and uncertainty quantification.
Substantial professional development opportunities are available, including travel and speaking opportunities at international conferences and workshops and engaged mentoring towards long-term professional goals.
This is an in-person position based in Seattle, WA. It is a full-time (100% FTE), 12-month/year position, with an initial appointment length of one year and the possibility of renewal. The preferred start date is September 1, 2026, but the date is negotiable. Salary for this position ranges from $68,460/year ($5,705/month) to $84,240/year ($7,020/month) with benefits, and is commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.
Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.
Qualifications
Minimum qualifications:
  • For applicants to the Statistical Methodology track:
    • PhD or equivalent in Statistics, Biostatistics, or a related field.
    • At least one published contribution in statistical methodology. This could include nonparametric, semiparametric, or resampling-based methods, with applications in any applied field.
    • A genuine interest in applying methods to contemporary datasets.
  • For applicants to the Microbial Bioinformatics track:
    • PhD or equivalent in Computational Biology, Microbiology, or a related field.
    • At least one published contribution in computational biology, microbiology, or a related field.
    • Research experience with shotgun sequencing data, including most of the following: working with public databases, assembly, annotation, binning, SNV profiling, and distributed computing infrastructure (cluster and/or cloud).
    • An interest in learning contemporary statistical methods.
  • For all applicants:
    • Strong written and oral communication skills.
    • Strong skills in project management and time management.
    • Proficiency in R, python, C++, Java or bash as demonstrated through a record of open-source software distribution.

Desired qualifications:
  • For applicants to the Statistical Methodology track:
    • Experience with microbiome, genomics or tree-valued data.
  • For applicants to the Microbial Bioinformatics track:
    • Familiarity with machine learning methods.
    • Experience with anvi'o databases.
  • For all applicants:
    • Multiple publications in the field of the candidate's expertise.

Application Instructions
The position will remain open until filled, but priority consideration will be given to applications received on or before July 17, 2026. Applications will only be accepted via Interfolio.
Applications should include the following materials:
  • Cover letter highlighting professional background, research interests, qualifications for this position, and career goals. Applications whose cover letters are AI-generated will not be considered.
  • Curriculum vitae (maximum 4 pages)
  • 2 representative academic works
  • Contact information for 2 references

Please send inquiries about the application process to Zoe Kool, Academic Human Resources Manager, at biostathr@uw.edu.

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