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Bioinformatics Analyst Jobs in Seattle, WA (NOW HIRING)

Benaroya Research Institute

Staff Scientist

Seattle, WA

$72K - $111K/yr

Analyze, interpret, and document experimental data while maintaining rigorous scientific standards. * Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and ...

Benaroya Research Institute

Staff Scientist

Seattle, WA · On-site

$72K - $111K/yr

Analyze, interpret, and document experimental data while maintaining rigorous scientific standards. * Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and ...

Benaroya Research Institute

Staff Scientist

Seattle, WA · On-site

$72K - $111K/yr

Analyze, interpret, and document experimental data while maintaining rigorous scientific standards. * Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and ...

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All JobsBioinformatics Analyst JobsBioinformatics Analyst Jobs in Seattle, WA

Bioinformatics Analyst information

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$7

$52

$93

How much do bioinformatics analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for bioinformatics analyst in Seattle, WA is $52.17, according to ZipRecruiter salary data. Most workers in this role earn between $41.06 and $55.82 per hour, depending on experience, location, and employer.

What does a bioinformatics analyst do?

A bioinformatics analyst works with large databases of omics data, such as genomics studies like the Human Genome Project. Your responsibilities in this career include research on the pathology of diseases and the development of experiments and algorithms to find cures. Your duties also involve ensuring compliance with all federal regulations and protocols. You may document your findings and present them at conferences as well. A career as a bioinformatics analyst requires advanced writing skills for writing scientific literature.

What does a bioinformatics analyst do?

A Bioinformatics Analyst uses computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They interpret large datasets generated by experiments, develop algorithms, and create visualizations to help researchers understand complex biological processes. Their work supports scientific discoveries in fields like genomics, medicine, and agriculture, often collaborating with biologists, computer scientists, and other researchers.

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

To thrive as a Bioinformatics Analyst, you need a strong background in biology, statistics, and computer science, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools like BLAST, Python/R programming, and experience with databases such as GenBank or Ensembl are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills enable analysts to extract meaningful insights from complex biological data, driving research and innovation in genomics and healthcare.

What are some common challenges faced by bioinformatics analysts when working with large genomic datasets?

One of the main challenges Bioinformatics Analysts encounter is managing and processing extremely large and complex genomic datasets, which often require advanced computational resources and efficient data management strategies. Ensuring data quality and accuracy while integrating information from various sources can also be demanding. Analysts frequently collaborate with biologists, clinicians, and IT professionals to interpret results and optimize workflows, which requires strong communication and interdisciplinary skills.

What is the difference between Bioinformatics Analyst vs Bioinformatics Technician?

AspectBioinformatics AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience with data analysis toolsAssociate's or Bachelor's; focus on data processing and laboratory support
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, academic settings
Employer & Industry UsageUsed in research, healthcare, biotech industries for data interpretationUsed for data collection, sample processing, and technical support roles

The main difference is that Bioinformatics Analysts focus on analyzing complex biological data and interpreting results, often requiring advanced degrees. Bioinformatics Technicians typically handle data collection, sample preparation, and technical tasks, supporting analysts and researchers. Both roles are essential in the biotech and healthcare industries, but they differ in responsibilities and required qualifications.

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Bioinformatics Analyst jobs near you
Infographic showing various Bioinformatics Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $108,463 per year, or $52.1 per hour.

Postdoctoral Scholar - Statistical Diversity Lab

University of Washington

Seattle, WA • On-site

$84K/yr

Full-time

Re-posted 14 days ago

University Of Washington School Of Medicine rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 629 rated colleges and universities

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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