Senior Bioinformatician Data Analyst, Department of Genome Sciences

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, Next Gen, 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, Git Hub, 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.