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

About the role

The University of Arizona College of Medicine – Phoenix (COM-P) is seeking a highly motivated candidate for the full-time position of Data and AI Researcher II in Dr. Peipei Ping’s laboratory. Our lab develops integrative omics and AI-driven data science approaches to uncover how genes, proteins, and their dynamic interactions shape cardiovascular function and disease, with the goal of transforming large-scale biological and clinical data into actionable insights for diagnosis, treatment, and scientific discovery.

Responsibilities

• Conducts research using advanced computational methods to analyze complex biomedical datasets.
• Collaborates with interdisciplinary teams to integrate omics data and develop predictive models.
• Develops and implements machine learning algorithms to improve understanding of cardiovascular diseases.
• Communicates research findings through presentations, publications, and reports.

Requirements

• PhD in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Experience with bioinformatics tools and programming languages such as R, Python, and SQL.
• Strong background in statistics and machine learning.
• Excellent communication and collaboration skills.

Qualifications

• Ability to work independently and as part of a team.
• Interest in cardiovascular research and data science.
• Passion for translating complex data into meaningful insights.

Skills

• Proficiency in statistical analysis and machine learning techniques.
• Experience with high-performance computing and cloud-based platforms.
• Knowledge of omics data processing and analysis pipelines.

Benefits

• Competitive salary commensurate with experience.
• Inclusive environment fostering diversity and inclusion.
• Flexible work schedule to support work-life balance.

Pay

Salary is competitive and commensurate with experience.

Schedule

Full-time position with flexible working hours to accommodate research needs.