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Field
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, proficiency in bioinformatics tools and programming languages (e.g., R, Python), excellent communication skills, and a strong record of peer-reviewed publications. This experience could include graduate level
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and metabolic analyses - Microscopy, flow cytometry - Metagenomics/ qPCR - Bioinformatics/ analysis of DNA sequencing data - Analytical chemistry; isotopic methods - Statistical analyses - Writing
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in computational biology, biomedical engineering, bioinformatics, computer science, statistics, or a related field. Strong background in machine learning, data integration, and high-dimensional data
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bioinformatic analyses of large datasets Presenting your work at national and international conferences Working alongside a range of cardiovascular researchers to enhance your professional development
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participation in studies with large research consortia. This position will require writing bioinformatics methodology manuscripts, developing/maintaining software packages, teaching, supervision and other
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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, genetic modification, and functional assays. Develops bioinformatics skills for analyzing genomic and transcriptomic datasets. Collaborative Opportunities: Works closely with human geneticists
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Education and Experience Requirements A doctoral degree (PhD) in Epidemiology, Human Genetics, Biostatistics, Bioinformatics or related field or a MD, DDS, or DVM degree combined with training in human
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immunology, flow cytometry, and or cellular metabolism, and should have a strong foundation in bioinformatic analysis. (Examples of previous work includes PMID 35169026, 35256539, 32125282). The position is
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experimental data using advanced bioinformatics tools and contributing to the development of innovative methodologies, developing novel computational models, actively participating in lab and group meetings