Job Company: University of Utah
The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a highly motivated research informaticist with a strong publication record to join its staff. This individual will work both independently and assist researchers in the field of Computational Linguistics, Natural Language Processing (NLP), Machine Learning... [More]
The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a Bioinformatics Data Analyst/Epidemiologist to join its bioinformatics research team. As one of the Analyst/Epidemiologist team, the successful candidate will evaluate the relationship between medical conditions and their causes and medical interventions and their outcomes through data analysis. [More]
The Research Associate is responsible for serving as the support analyst on family planning related research projects. Responsibilities include conducting statistical analysis quantitative data and interpreting results as well as analyzing qualitative data; participating in study design; assisting in writing research proposals, grants and manuscripts... [More]
ARUP laboratories and the Scientific Computing and Imaging (SCI) Institute at the University of Utah are offering a post-doctoral position in biomolecular data visualization. ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and a worldwide leader in innovative laboratory research and development. The SCI Institute is an internationally renowned research institute specializing in scientific computing, image processing and analysis, and data visualization. [More]
The Division of Clinical Pharmacology in the Department of Pediatrics, University of Utah School of Medicine, has an immediate opening for a Research Analyst. The Research Analyst is responsible for assisting with design and management of research projects within the area of active research of the Principal Investigator/Supervisor. [More]
The Pezzolesi lab is seeking a bioinformatics data analyst to assist in analyzing high-throughput genetic data as part of several research projects that aim to investigate the basis of diabetes, diabetes-related complications, and chronic kidney disease using molecular biology, next-generation sequencing technology, and bioinformatics. [More]
The Bioinformatics Shared Resource at the Huntsman Cancer Institute (HCI) and University of Utah is seeking a full-time Bioinformatics Data Analyst. This individual will join an established team of bioinformatic professionals to provide experiment design, data analysis, software development, compute infrastructure, and analysis training services to the research and clinical genomics communities at the HCI and University of Utah. [More]
The Bioinformatics Shared Resource at the Huntsman Cancer Institute (HCI) and University of Utah is seeking a full-time Bioinformatics Data Analyst. This individual will join an established team of bioinformatic professionals to provide experiment design, data analysis, software development, compute infrastructure, and analysis training services to the research and clinical genomics communities at the HCI and University of Utah. [More]
The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a Bioinformatics Data Analyst/Epidemiologist to join its bioinformatics research team. As one of the Analyst/Epidemiologist team, the successful candidate will evaluate the relationship between medical conditions and their causes and medical interventions and their outcomes through data analysis. The selected candidate will collaborate within a research team completing all aspects of a project through study design, regulatory approvals, project management, statistical analysis, as well as interpretation and dissemination of results. [More]
We are seeking an MS biostatistician with biomedical research background to join the Cancer Biostatistics Core of the Huntsman Cancer Institute. The person filling this position will write detailed analysis plans, carry out statistical analyses, and interpret analysis results, and must be able work effectively in a multidisciplinary group with regard to study design, statistical programming, analysis of data, and learning new statistical methods. The successful candidate will perform analyses of methylation, gene expression and metabolomics data, and will perform analyses of genetic epidemiology data, cancer survival and prognosis. [More]