Research Consultant 2 (Temp)

University of Washington

Seattle, WA

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JOB DETAILS

SKILLS

Analysis Skills, Bioinformatics, Biology, Cell Analysis, Command Line, Communication Skills, Compensation and Benefits, Conferences, Consulting, Data Analysis, Data Modeling, Data Processing, Data Science, Data Sets, Database Analysis, Deep Learning, Disease, Diversity, Experiment Design, Genetics, Git, GitHub, High Throughput, Laboratory Analysis, Machine Learning, Medicine, Microsoft Visual Studio, National Institutes of Health (NIH), Nephrology, Organizational Development/Management, Organizational Skills, Pre-Clinical, Problem Solving Skills, Programming Methodologies, Publications, Python Programming/Scripting Language, Quality Control, R Programming Language, Regulatory Requirements, Research Laboratory, Scientific Research, Scripting (Scripting Languages), State Laws and Regulations, Statistical Analysis System (SAS), Statistical Modeling, Statistics Software, Writing Skills

LOCATION

Seattle, WA

POSTED

Today

**Job Description** **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). **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 **MINIMUM 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. **DESIRED REQUIREMENTS** + 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 \#UWDeptMedicineJobs **Compensation, Benefits and Position Details** **Pay Range Minimum:** $65,352.00 annual **Pay Range Maximum:** $120,372.00 annual **Other Compensation:** - **Benefits:** For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/ **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a temporary position **FTE (Full-Time Equivalent):** 100.00% **Union/Bargaining Unit:** Not Applicable **About the UW** Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. **Our Commitment** The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 (https://policy.uw.edu/directory/po/executive-orders/eo-81-prohibiting-discrimination-harassment-and-sexual-misconduct/) . To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu . Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law (https://app.leg.wa.gov/RCW/default.aspx?cite=28B.112.080) . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

About the Company

University of Washington

INDUSTRY

Other/Not Classified