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

• Contribute to the development and implementation of novel data analysis pipelines using machine learning and statistical methods.
• Collaborate with biologists and clinicians to interpret complex omics data and translate findings into clinically relevant insights.
• Develop and maintain databases and informatics tools to support research projects.
• Present research findings at internal and external conferences and publish in peer-reviewed journals.

Requirements

• A PhD in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Experience with high-throughput omics data analysis, including genomics, transcriptomics, proteomics, and metabolomics.
• Strong programming skills in Python/R, proficiency with Linux, and familiarity with cloud computing platforms like AWS or Google Cloud.
• Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.

Qualifications

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

Skills

• Expertise in data analysis and machine learning techniques.
• Knowledge of database design and management.
• Experience with bioinformatics tools and software.

Benefits

• Competitive salary commensurate with experience.
• Inclusive and supportive work environment.
• Flexible work schedule.
• Access to comprehensive benefits package.

Pay

Salary is commensurate with experience.

Schedule

Full-time position.