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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics
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multidisciplinary research team supported by an advanced data management and computational infrastructure to perform data analyses, develop and/or implement novel statistical methodology, and publish research results
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datasets Previous experience in statistical analysis of data, leading to peer reviewed papers and/or presentation of findings at conferences Evidence of excellent scientific analysis skills Strong computer
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clinical informatics Familiarity with statistical software packages, data management, and quantitative analysis techniques Excellent interpersonal and written and verbal communication skills applied across a
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that directly relate to this position. The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine & Bioinformatics, is seeking candidates for a postdoctoral research fellow position
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
team. The successful candidate will work at the intersection of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and
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, ensuring quality and methodological rigor. Serve as an in-house methodological expert, providing guidance on study design, statistical approaches, and data interpretation. Develop subject-matter expertise
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. Experience with the use of electronic medical records and clinical data. Self-direction, critical thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including