Bioinformatician - Cardiology

• Job Type: Officer of Administration
• Regular/Temporary:
  Regular
• Hours Per Week: 35
• Salary Range: $71,400 - $96,469 Annual

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Bioinformatician will support computational and data-driven research initiatives focused on cardiometabolic diseases and precision medicine through the development and application of advanced bioinformatics, statistical, and machine learning methodologies. The incumbent will independently analyze large-scale genomic, transcriptomic, spatial omics, and imaging datasets; develop and maintain reproducible computational pipelines; and collaborate with investigators to generate scientific insights that support manuscripts, presentations, and grant applications.

The Bioinformatician will serve as a technical expert in computational biology, integrating diverse biological datasets and developing analytical workflows to advance translational and population health research.

• Develop, implement, maintain, and optimize computational pipelines for the analysis of high-dimensional biological datasets, including:
• Single-cell sequencing
• Spatial transcriptomics
• Bulk RNA sequencing
• Multi-omics data integration
• Imaging and digital pathology datasets
• Perform advanced bioinformatics analyses using established and emerging computational methods.
• Apply statistical and machine learning approaches to identify biological patterns, predictors, and mechanisms associated with cardiometabolic diseases and related conditions.
• Design, evaluate, and validate reproducible analytical workflows to ensure scientific rigor and computational efficiency.
• Utilize high-performance computing and cloud-based environments to process and manage large-scale research datasets

• Collaborate with members of research team including faculty investigators, postdoctoral fellows, graduate students, other analysts and research staff on study design, data analysis, and interpretation of results.
• Translate complex computational findings into actionable biological and clinical insights.
• Contribute to the preparation of scientific manuscripts, abstracts, presentations, and grant proposals.
• Generate publication-quality figures, tables, visualizations, and analytical summaries.
• Participate in multidisciplinary research initiatives involving genetics, genomics, epidemiology, biostatistics, and clinical research.

• Establish and maintain data processing standards, documentation, and quality-control procedures.
• Ensure reproducibility, accuracy, and integrity of analytical workflows and research outputs.
• Maintain appropriate documentation of computational methods and analytical processes.
• Assist in the management, organization, and integration of large and complex research datasets.

• Evaluate and implement emerging bioinformatics methods, software tools, and computational technologies.
• Provide technical guidance and training to laboratory members and collaborators regarding analytical methods and computational workflows.
• Participate in scientific meetings, seminars, and collaborative research discussions.
• Perform additional related duties as assigned.

• Bachelor's degree or equivalent in education and experience, plus four years of related experience.
• Master's degree in Bioinformatics,…