The Walters lab (University of Kansas) is seeking a collaborator with expertise in statistical analysis of RNA-seq expression data and Bioconductor package development.

This collaborator, paid as a contractor, will play a lead role in implementing a Bioconductor package that applies mixed-effects linear models to RNA-seq expression data, with the primary aim of analyzing sex chromosome dosage compensation. The project is funded by an NSF grant, and is briefly outlined here: https://walterslab.github.io/doseR/

We anticipate work will be performed remotely for a set fee. We anticipate compensation will be in the range of $5k-15k USD (depending on extent of involvement), for work conducted over 3-6 months. Authorship on packages and publications is also anticipated. Immediate start is desirable. Applications from outside the USA are welcome.

For further information and to express interest in this opportunity, please contact James Walters (jrwalters@ku.edu) with a CV and brief letter of introduction.