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Candidates will join the multidisciplinary and multidepartment Masonic Institute for the Developing Brain with on-site expertise spanning developmental and clinical neuroscience, bioinformatics, and data analytics and have access to the broader University of Minnesota neuroimaging, high performance computing, and mental health research communities.
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Master's degree in pertinent field (bioinformatics, biomedical engineering, computer science, clinical informatics, information management, biostatistics, epidemiology, public health). Performs custom bioinformatics and statistical analyses involving genomic, transcriptomics and methylation data.
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The Researcher 4 will contribute to studies linking non-invasive brain imaging (fMRI, MRI) to mental health and substance use outcomes in large, publicly available datasets (e.g., Adolescent Brain Cognitive Development Study: ABCD, Human Connectome Project: HCP, UK Biobank.
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Experience with data engineering, data management, and cleaning in biology or healthcare attention to detail and ability to lead work with multiple parties (analyst, data type subject matter expert, external lab, etc.
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We are looking for a highly creative and innovation-driven Bioinformatics Analyst to work with Envisagenics data engineers and bioinformatics scientists to develop, maintain and analyze the company’s proprietary database.
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Rancho BioSciences is an international company offering data curation, data governance and models, bioinformatics analysis, workflows and pipelines, knowledge mining, target profiles, building databases with content, business analyst services to clients in pharmaceutical and biotech companies, foundations, government, and hospitals.
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Situated in Stanford's highly dynamic research environment the Curtis Laboratory ( ), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 3 to join the Cancer Computational and Systems Biology group.
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Master’s degree in statistics, bioinformatics, computational biology, or related field. Required Qualifications Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; or master’s degree in computer science, bioinformatics, biostatistics, or related field; or combined education and experience of seven years.
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Bachelor’s degree required and master’s degree preferred in Biostatistics, Bioinformatics, Data Science, Computer Science, Genetics or related field. Programming skills in R or related statistical software, prior experience in biostatistics, statistical genetics, computational biology, or genomics.
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Situated in Stanford’s highly dynamic research environment the Curtis Laboratory (), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group.
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We go beyond ordinary health IT services and solutions because we see the advancement of technology and bioinformatics as opportunities to make meaningful impacts in patient’s lives. As part of the Development team, the Business Analyst is responsible for leading the business analysis, requirements elicitation with stakeholders, and working with the Product Owner(s) and team to ensure that the developed system meets or exceeds the customer needs.
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Have obtained a Bachelor's or master’s in Bioinformatics, Computer Science, Statistics, Data Science, Engineering, or related STEM field. Axle is seeking a Data Analyst with experience in SQL, R and Python to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS.
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Master's in Public Health, Statistics, Biostatistics, Epidemiology, Applied Mathematics, or Bioinformatics. Additionally, the Senior Research Data Analyst supports the design and deployment of the next generation of the CF Foundation Patient Registry by implementing complex queries and analyses with an ultimate goal to enhance the impact of the data collected at the Registry.
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Xenbase.org ) is the online Xenopus bioinformatics and genomics resources used by biomedical researchers worldwide and is funded by the NIH/ NICHD. Xenopus is a major model for studying genomics, cell and developmental biology and modeling human disease.
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Apply and develop bioinformatics approaches for analysis of data from high-throughput experiments conducted by Wistar Institute scientists, including but not limited to bulk and single cell next generation sequencing and other various types of genomics and proteomics data.
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