Christopher D. Johnston

Fred Hutchinson Cancer Research Center, Vaccine and Infectious Disease Division, Office E4-159, Eastlake building, 1100 Fairview Ave N. Seattle, WA 98109-4433

Email: johnston@fredhutch.org     Telephone: +1(206) 667-3508

Join the Johnston Lab 

We’re always looking for highly motivated, hard-working and enthusiastic people to come work with us. We especially encourage those from backgrounds poorly represented in STEM fields to apply to the lab.

We are seeking two outstanding Staff Scientists (Wet-Lab/Dry-Lab)!

Johnston_2021_StaffScientists

1) Staff Scientist – Synthetic Microbiology/Epigenomic engineering (dCas9)

The successful applicant will work with Dr. Christopher D. Johnston to develop and support expanding synthetic microbiology and epigenome-editing efforts (prokaryote/eukaryote) focused on the human microbiome. Central responsibilities will include: (i) the management and advancement of multiple ongoing wet-lab research projects – primarily associated with the application of state-of-the-art long-read sequencing technologies (PacBio/Oxford-nanopore) in the context of clinical metagenomics and methylation studies. (ii) Design/engineering/purification and validation of novel CRISPR-Cas/dCas9-effector systems for prokaryotes/eukaryotes. (iii) Continued adoption of novel synthetic biology methodologies/technologies for creative problem-solving during strain engineering across a wide range of bacterial species.

2) Computational Staff Scientist – Microbial Genomic/Metagenomic/Epigenomic analyses

The successful applicant will work with Dr. Christopher D. Johnston to develop and support the growing computational and bioinformatics efforts within a research group focused on the human microbiome. Central responsibilities will include all aspects of analysis and management of multiple unique data sets -primarily associated with long-read sequencing technologies (PacBio) including large scale computational genomics of clinical microbial strain collections, patient tumor and tissue metagenomics, and microbial/eukaryote epigenetics. Additionally, statistical analysis of large datasets, integration of multiple data elements, and generation of figures to visualize microbiome data and results.

I especially encourage those from backgrounds poorly represented in STEM fields to apply to the lab.

The full job postings can be found here and here.

Postdoctoral Research Training

Open postdoc positions in the lab will be advertised here. I also welcome inquiries from postdocs interested in applying for independent funding.

I especially encourage those from backgrounds poorly represented in STEM fields to apply to the lab.