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Position: Research Computer Scientist
Institution: University of Michigan
Location: Ann Arbor, Michigan, United States
Duties: Develop image analysis modules, especially for spatial omics and high-content screening, and generate informatic pipelines to perform statistical analysis of the ensuing datasets. Individuals with additional experience in analyzing next-generation sequencing datasets (including bulk/single-cell genomics, epigenomics and transcriptomics) will be highly preferred. The individual is also expected to have excellent organizational skills, multi-tasking and problem-solving ability, interpersonal and communication skills, and ability to meet deadlines with a high degree of accuracy. Candidate should possess attention to detail, motivation to learn new things and ability to adapt to changing needs of the lab
Requirements: Master’s or higher level education in data science, computer science, applied mathematics or biomedical science with 2+ years of experience; Extensive experience in biological image analysis. Familiarity with feature detection and computer vision concepts, especially image segmentation and pixel classification methods will be required; Proficiency in Python, MATLAB and R; Experience with using Cellprofiler and ImageJ, especially writing custom modules for Cellprofiler and custom macros/plugins for ImageJ; Ability to implement high-performance/parallel computing and version control
   
Text: Research Computer Scientist Develop image analysis modules, especially for spatial omics and high-content screening, and generate informatic pipelines to perform statistical analysis of the ensuing datasets. Individuals with additional experience in analyzing next-generation sequencing datasets (including bulk/single-cell genomics, epigenomics and transcriptomics) will be highly preferred. The individual is also expected to have excellent organizational skills, multi-tasking and problem-solving ability, interpersonal and communication skills, and ability to meet deadlines with a high degree of accuracy. Candidate should possess attention to detail, motivation to learn new things and ability to adapt to changing needs of the lab Master’s or higher level education in data science, computer science, applied mathematics or biomedical science with 2+ years of experience; Extensive experience in biological image analysis. Familiarity with feature detection and computer vision concepts, especially image segmentation and pixel classification methods will be required; Proficiency in Python, MATLAB and R; Experience with using Cellprofiler and ImageJ, especially writing custom modules for Cellprofiler and custom macros/plugins for ImageJ; Ability to implement high-performance/parallel computing and version control
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