RESEARCH SCIENTIST/ENGINEER 3
University of Washington
- Seattle, WA
- $5,469-9,000 per month
- Permanent
- Part-time
Req #: 233667
Department: DEPARTMENT OF NEUROLOGICAL SURGERY
Job Location: Seattle Campus
Posting Date: 05/08/2024
Closing Info: Open Until Filled
Salary: $5,469 - $9,000 per month
Other Compensation:
Union Position: Yes
Shift: First Shift
Benefits: As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website,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 understanding intratumoral heterogeneity in glioblastoma. We have shown in the past that cells within a tumor have dramatically different gene expression profiles. We use cutting edge techniques for single cell analysis such as single cell RNA-seq to interrogate tumor heterogeneity in primary patient samples that are harvested directly from the operating room. In parallel, we are trying to develop and characterize mouse and human culture models that recapitulate the heterogeneity seen in patient tumors in order to allow us to study how these processes affect treatment resistance and tumor evolution. These models include mouse xenografts, genetic mouse models, and human tissue culture models such as neurospheres and brain organoids.DUTIES AND RESPONSIBILITIES
This Research Scientist/Engineer 3 (E S UAW RSE) position will play an important role in the development and maintenance of bioinformatics pipelines used for QC and processing of high-throughput sequencing data as well as in the integrated analysis of large datasets. This position requires the ability to apply R and python algorithms to extract meaningful insight from complex omics data. Additional skills needed for this position include: HPC, bash scripting, machine learning, and Linux OS.Bioinformatics Management: 90%
- Design, develop, and maintain research-related custom software used in a high-throughput, next-generation sequencing.
- Serve as a bioinformatics expert to guide wet lab scientists in data interpretation and troubleshooting bench experiments.
- Participate in developing, implementing and maintaining new workflows.
- Thrive in a fast-paced work environment that requires independent self-direction with an aptitude for team collaboration and open communication.
- Provide support in writing manuscripts, abstracts, and presentations.
- Present findings at group meetings and conferences, if necessary.
- Responsible for review and interpretation of omics results under direction of principal investigators.
- Develop and coordinate data analysis strategies and implementation for large research projects.
- Update variant curation strategies, variant scoring process, interpretation process, and reporting process on an ongoing basis.
- Develop expertise in interpreting genetic data from open source and proprietary analysis software and databases.
- Support/design of software tools to assist in more efficient variant review for the variant review
- scientist and affiliated faculty.
- Integrate omics data to extract meaningful insights into disease pathogenesis.
- Bachelor's degree in a related field and four years of relevant experience,
- Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
- Master's degree in Bioinformatics.
- Proficient in the use of:
- R - Statistical analysis, machine learning, clustering, data visualization, data analysis.
- Bash/Unix command line/awk - Text parsing, and file manipulation and handling, GitHub & Bitbucket.
- Python - Bio python, DNA sequence manipulation, file manipulation, parsing.
- SQL - Data manipulation, database querying.
- Neo4J - data architecture.
- Mol Bio - PCR, ELISA, AGE/SDS-PAGE, Western blotting, Flow cytometry, DNA extraction, purification & quantification.
- Algorithms & Software - BLAST, FASTA, Sam tools, Bowtie2, Trinity, DeSeq2, Qiagen, Array studio, GSEA, CIBERSORT, BEAST2, Mummer, RBH, ITOL.
- Operating systems - Linux, Windows, MacOS, UGE (Univa grid engine), HPC (High-performance computing) multi-omics data integration.