Research Consultant 2 (Temp)
About The Position
The Department of Medicine, Division of Nephrology, has an outstanding opportunity for a full-time, temporary Research Consultant 2 position. The candidate will work with the Shankland Lab group to analyze high-throughput data sets related to the kidney in the settings of pre-clinical models of disease and aging. Specifically, the lab utilizes transcriptional profiling approaches to understand the molecular mechanisms of disease and also of aging, their progression, and response to treatments. We used publicly available human data to translate our experimental data. The lab is well funded by the NIH. This position includes ownership of projects, support of other researchers, and working with our collaborators. The candidate will have access to team of bioinformaticians providing computational analysis and support at UW Medicine’s South Lake Union campus. This position has a high degree of autonomy and requires personal initiative, discretion, and flexibility to perform complex analytic processes related to data analysis. This employee must possess knowledge and understanding of the complexities of assessment, evaluation, and data as well as a high degree of knowledge of statistical analysis software and scripting languages (e.g. R).
Requirements
- Bachelor’s degree in a related field and two years of experience involving data analysis, statistical software, and scripting languages.
- Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
Nice To Haves
- Masters in bioinformatics, computational biology, or other area with relevant biology and data science experience
- Fluency in R (R scripts and R Markdown)
- Experience with packages such as Seurat, bpCells, ggplot2, tidyverse, dplyr, and others for visualization
- Fluency in Python using Visual Studio Code and Jupyter Notebook, mainly with libraries like pandas, numpy, scanpy, Squidpy, matplotlib, and others for single-cell and spatial analysis
- Interest in kidney research
- Exposure to machine learning and deep learning concepts
- Demonstrated ability to participate productively in interdisciplinary research teams
- Self-motivation and flexibility
- Strong organization and communication skills
Responsibilities
- Research Data Processing: Process raw sequence data including quality control, alignment, and normalization with command line tools (e.g. FastQC, STAR, samtools)
- Analyze high-dimensional RNA-seq, genetic, and/or single cell sequencing data including statistical modeling and visualization using existing R packages (e.g. limma, lme4, Seurat)
- Perform and document workflows using reproducible programming techniques (e.g. Rmarkdown, Git)
- Collaborate with other bioinformaticians on reproducible workflows, shared methods, and community code projects (e.g. GitHub)
- Contribute to experimental design with downstream analyses in mind
- Work directly with bench scientists and researchers to develop scripts to improve data organization, management, and analysis to best serve the needs of evolving projects
- Analyze publicly available databases relevant to the kidney such as KPMP Research Data Analysis
- Participate in data analysis and dissemination of results to include: Co-author peer-reviewed publications
- Present at scientific conferences where appropriate
- Create text, tables, figures, and charts for presentations and publications, and for the PI’s grant submissions
- Communicate computational methods and results to non-computational researchers in the lab
Benefits
- For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
