RESEARCH SCIENTIST/ENGINEER 3

Updated: 2 months ago
Location: Seattle, WASHINGTON
Deadline: Open Until Filled

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills and dedication to build stronger minds and a healthier world. 

UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty.

POSITION PURPOSE
Our lab is focused on establishing and interpreting multi-omic signatures of orphan diseases of the brain. We apply cutting edge techniques such as bulk/single-cell/spatial RNA-seq, WGS, WES, and proteomics to interrogate disease heterogeneity, pathogenesis, and evolution in patient samples that are collected directly from the operating room. We also utilize computational approaches and AI-based algorithms to identify new applications for approved or investigational drugs. Validation studies are conducted in patient specimens, cell culture and patient-derived organoids. Our goal is to combine molecular data, statistical analysis, machine learning, AI, and clinical data to identify opportunities to improve treatment, diagnosis, evaluate therapy response, and ultimately, bring precision medicine to the clinic.

DUTIES AND RESPONSIBILITIES
This position, the Research Scientist/Engineer 3 (E S UAW RSE), will play an important role in the development and maintenance of bioinformatics pipelines used for QC and processing of high-throughput data as well as in the integrated analysis of large datasets. This position requires the ability to apply R and python algorithms for data processing, manipulation, and visualization to extract meaningful insights from complex data. Experience in pipeline development, automation and documentation using GitLab, GitHub, and rmarkdown is required. Additional skills needed for this position include: HPC, SLURM, bash scripting, machine learning, AI, and Linux OS.

Bioinformatics Management: 90%



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