University of Virginia
Senior Bioinformatician Data Analyst, Department of Genome Sciences
University of Virginia, Charlottesville, Virginia, United States, 22904
Senior Bioinformatician Data Analyst, Department of Genome Sciences
Join the University of Virginia as a Senior Bioinformatician Data Analyst in the Department of Genome Sciences. This role offers an outstanding opportunity to gain practical experience implementing advanced bioinformatics and computational genomics tools in a unique collaborative setting and to establish a deeper understanding of precision medicine. The Department of Genome Sciences addresses fundamental questions in biology, public health, and medicine by developing and applying state-of-the-art genetic, genomic, and computational approaches to complex human diseases. The Miller Lab focuses on unraveling cardiovascular diseases by integrating large-scale human genetics, single-cell/spatial multi-omics, and data science approaches. The University of Virginia is a member of an international consortium, NextGen, which aims to build novel and synergistic tools to enable portable multimodal, multiomic, and clinically oriented research in high-impact areas of cardiovascular medicine. The Successful Candidate Will Be Expected To Apply single-cell and spatial genomic data analyses to develop and benchmark pipelines for a pan-vascular tissue atlas of atherosclerosis. Utilize expertise in bioinformatics, statistics, data science, and machine learning to infer novel cell states, gene regulatory networks, and druggable protein targets. Enhance understanding of disease-associated genes, signaling pathways, and regulatory mechanisms for coronary artery disease (CAD). Develop precise targeting strategies and risk profiles for causal disease pathways underlying CAD and related cardiometabolic diseases. Work with the PI, lab members, and other collaborators to curate human single-cell and multi-omics datasets and apply automated pipelines to refine cell states and disease trajectories. Work with the PI, lab members, and collaborators to refine AI/ML models to predict gene perturbations, regulatory networks, and treatment responses. Develop new user-friendly web interfaces to explore datasets and AI/ML predictions. Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements Master's degree. Five years of related experience. Preferred Qualifications MS or PhD in a quantitative discipline (e.g., Bioinformatics, Statistics, Computational Biology, Engineering). Experience in analyzing genomics or multi-omics datasets. Proficiency in data analysis and computational modeling using R, Python, Bash, etc. Experience with automated pipelines and workflows (HPC, GitHub, Docker). Strong understanding of biology, physiology, human genetics, and machine learning. Excellent communication skills for both technical and broad audiences. Demonstrated ability to innovate and solve complex problems. Strong networking and teamwork skills. This is primarily a sedentary job involving extensive use of desktop computers. Salary will be commensurate with education and experience. This is an exempt-level, benefited position. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
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Join the University of Virginia as a Senior Bioinformatician Data Analyst in the Department of Genome Sciences. This role offers an outstanding opportunity to gain practical experience implementing advanced bioinformatics and computational genomics tools in a unique collaborative setting and to establish a deeper understanding of precision medicine. The Department of Genome Sciences addresses fundamental questions in biology, public health, and medicine by developing and applying state-of-the-art genetic, genomic, and computational approaches to complex human diseases. The Miller Lab focuses on unraveling cardiovascular diseases by integrating large-scale human genetics, single-cell/spatial multi-omics, and data science approaches. The University of Virginia is a member of an international consortium, NextGen, which aims to build novel and synergistic tools to enable portable multimodal, multiomic, and clinically oriented research in high-impact areas of cardiovascular medicine. The Successful Candidate Will Be Expected To Apply single-cell and spatial genomic data analyses to develop and benchmark pipelines for a pan-vascular tissue atlas of atherosclerosis. Utilize expertise in bioinformatics, statistics, data science, and machine learning to infer novel cell states, gene regulatory networks, and druggable protein targets. Enhance understanding of disease-associated genes, signaling pathways, and regulatory mechanisms for coronary artery disease (CAD). Develop precise targeting strategies and risk profiles for causal disease pathways underlying CAD and related cardiometabolic diseases. Work with the PI, lab members, and other collaborators to curate human single-cell and multi-omics datasets and apply automated pipelines to refine cell states and disease trajectories. Work with the PI, lab members, and collaborators to refine AI/ML models to predict gene perturbations, regulatory networks, and treatment responses. Develop new user-friendly web interfaces to explore datasets and AI/ML predictions. Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements Master's degree. Five years of related experience. Preferred Qualifications MS or PhD in a quantitative discipline (e.g., Bioinformatics, Statistics, Computational Biology, Engineering). Experience in analyzing genomics or multi-omics datasets. Proficiency in data analysis and computational modeling using R, Python, Bash, etc. Experience with automated pipelines and workflows (HPC, GitHub, Docker). Strong understanding of biology, physiology, human genetics, and machine learning. Excellent communication skills for both technical and broad audiences. Demonstrated ability to innovate and solve complex problems. Strong networking and teamwork skills. This is primarily a sedentary job involving extensive use of desktop computers. Salary will be commensurate with education and experience. This is an exempt-level, benefited position. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
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