Indiana University's Cyberinfrastructure for Network Science Center (CNS, https://cns.iu.edu) is looking for a full-time Research Analyst with a strong background in biomedical research to work on data analyses, statistical modeling, and data visualizations in the NIH-funded HuBMAP (https://portal.hubmapconsortium.org/) project that aims to map the human body at single-cell level.
The ideal candidate will have strong oral and written communication skills and a unique combination of training and/or prior experience in more than one of the following areas: data analysis, data visualization, biomedical imaging, histology, human anatomy and physiology, and computer programming. Familiarity with multiplexed microscopy image analysis software and molecular biology assays and bioinformatics is a plus.
The Research Analyst will provide research and technical expertise as well as supervision for the design, setup, and implementation of research studies and co-author scholarly publications in high-profile scientific outlets. This individual will become a core part of the CNS machine learning and computer vision team and provide a biomedical perspective in the building and training of machine/deep learning models. They will research the state of the art in areas related to data visualization, segmentation in histology imaging, and human-computer interaction. They will participate in the specification of new data visualization services and standards and the setup and running of Kaggle competitions, see example 1 (https://www.kaggle.com/c/hubmap-kidney-segmentation) and example 2 (https://www.kaggle.com/competitions/hubmap-organ-segmentation/). In addition, they will serve as a consultant in assisting with data visualization and biomedical research needs of faculty, staff, and students at CNS.
The CNS mission is to advance research, development, teaching, and service in data mining, modeling, and visualization. Specific foci are increased data visualization literacy and research on multi-level atlases of the structure and evolution of science and technology (see Mapping Science Exhibit, https://scimaps.org/home), mapping the human body at the single cell level (see HuBMAP, https://portal.hubmapconsortium.org/), and the communication of results via static and interactive data visualizations (see courses like the Visible Human MOOC, https://expand.iu.edu/browse/sice/cns/courses/hubmap-visible-human-mooc).
Apply using this link: https://bit.ly/3RsKqMrPosted On
July 19, 2022