Postdoctoral Scholar – Statistical Diversity Lab

University of Washington:
Academic Personnel & Faculty:
School of Public Health:
Biostatistics Location

Seattle, WA

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 ((Use the "Apply for this Job" box below). ). The Stat Div Lab  develops cutting‑edge statistical methodology to address the most important methodological needs of microbiome scientists. Software, outreach and training complement their research mission.

The Stat Div Lab  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.

• 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 non-parametric, semi parametric, 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.

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .

Benefits Information

The University is committed to providing excellent benefits to our faculty. For a summary of available benefits, please see UWHR benefits information .

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