Perform comprehensive computational analyses of single-cell and spatial transcriptomics datasets to characterize the tumor microenvironment in bladder cancer
Apply advanced statistical and machine-learning methods to identify biomarkers, immune cell states, and biological mechanisms associated with BCG immunotherapy response
Integrate multi-modal datasets, including scRNA-seq, spatial transcriptomics, bulk RNA-seq, proteomics, and clinical metadata, to achieve a systems-level understanding of tumor–immune interactions
Incorporate imaging and pathological covariates alongside molecular data to generate clinically interpretable insights and inform treatment strategies
Lead the synthesis of computational findings into clear, compelling scientific narratives and drive manuscript preparation for submission to high-impact journals
Collaborate closely with experimental scientists and clinical teams to interpret results, refine hypotheses, and guide translational research directions
Present findings internally and externally at scientific meetings and seminars.

PhD in Computational Biology, Bioinformatics, Data Science, Systems Biology, Biostatistics, or a related quantitative discipline
Strong experience analyzing high-dimensional omics data (e.g., single-cell RNA-seq, spatial transcriptomics, bulk RNA-seq)
Proficiency in computational programming languages such as R and/or Python
Demonstrated ability to work independently on complex data analysis projects and communicate results clearly
Strong scientific writing skills and a track record for first-author publications.

medical, dental, vision, life insurance
short
and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation
up to 120 hours per calendar year
Sick time
up to 40 hours per calendar year; up to 56 hours per calendar year for employees who reside in the State of Washington
Holiday pay, including Floating Holidays
up to 13 days per calendar year
Work, Personal and Family Time
up to 40 hours per calendar year

Postdoc Data Science, Oncology

Key skills