Data and AI Researcher II, Department of Biomedical Informatics (College of Medicine

Analyze multi-omics, imaging, and clinical datasets using established analytical and statistical methods. Contribute to ongoing studies in cardiovascular systems biology, including exposure to proteomics, transcriptomics, and integrative data analysis approaches. Interpret results and collaborate in preparing summaries, presentations, and draft materials for publications. Review and apply existing computational workflows to support reproducible and well-documented data analysis. Provide support for the use and maintenance of computational pipelines for multi-modal biomedical data. Apply existing machine learning and data analysis methods under guidance from senior team members. Work with the PI and team to improve organization, usability, and documentation of analytical tools and workflows. Document workflows, software usage, and standard operating procedures (SOPs) to support reproducibility and team knowledge sharing. Collaborate with interdisciplinary teams, including researchers in computational biology, clinical research, and data science. Contribute to preparing reports, manuscripts, and grant-related materials, including coordination and formatting support. Present summaries of work and project updates in lab meetings and collaborative settings, with guidance as needed. Knowledge, Skills Abilities: Ability to communicate in a clear, concise manner orally and in writing. Detailed oriented, conscientious, and able to follow instructions. Knowledge of the principles and techniques of the subject discipline. Knowledge of modern research methods, data collection and analyses. Skill in analyzing and evaluating data.