Full Time Python Bioinformatics Jobs in Seattle, WA

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.