Sort by
Refine Your Search
-
Category
-
Field
-
at Washington University School of Medicine in St. Louis. We are seeking a highly motivated and detail-oriented individual to join our research team. The goal of the lab is to perform detailed molecular analysis
-
/analysis in participant interviews; assembles proper testing packets for study participants and confers with participants to explain purpose of study; explains procedures to address participant/family
-
and epidemiological studies. Will assist in multiple research projects with data analysis including analysis of spatial transcriptomics data generated through the 10x Genomics platform. There may be
-
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
-
and/or python programming languages and familiarity with Seurat is preferred. This position will offer opportunities to contribute to ongoing spatial transcriptomics and structural biology (CryoEM
-
or doctoral degree. Preferred Requirements Expertise in R, Python, bioinformatics and analysis of single cell or spatial transcriptomics data. Working Conditions This position works in a laboratory environment
-
or as a team member in utilizing developed methodologies. Next-generation sequencing, library preparation (ATAC-seq, scRNA-seq, snRNA-seq and spatial sequencing platforms) and analysis. Ability
-
from multiple projects. The Data Analyst should have experience in applied policy or economic research including: Econometric modeling or other rigorous methodological approaches (e.g., spatial analysis
-
Scheduled Hours 40 Position Summary The lab is using single cell and spatial biology techniques to generate molecular maps of the kidney and lower urinary tract in healthy and disease conditions
-
Qualifications Expertise in R, Python, bioinformatics and analysis of single cell or spatial transcriptomics data. Analytical, reasoning and problem-solving skills. Ability to analyze and interpret statistical