Scientific Analyst I, Translational Cardiovascular Research Center (College of Medicine - Phoenix)

The ideal candidate should have a strong background in software development, sequencing data processing and/or transcriptomics. The individual will develop novel software to analyze large and complex biomedical data sets and contribute towards research and research-related service in translational cardiovascular research. The Scientific Analyst I will benefit from the interaction with the diverse and interdisciplinary environment at the University of Arizona College of Medicine - Phoenix.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state retirement plan; access to UA recreation and cultural activities; and more!

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• Assist with analyzing biological and clinical datasets using bioinformatics tools and statistical methods.
• Assist in designing and executing scientific studies related to genomics, transcriptomics, proteomics, and other omics fields.
• Aid in interpreting results, generate insights, and contribute to presentations and publications.
• Validate and benchmark analytical pipelines and methodologies.
• Support the development, testing, and maintenance of bioinformatics software and pipelines.
• Assist in the Implementation of algorithms and computational methods for data processing and analysis.
• Collaborate with PI to optimize performance and usability of analytical tools.
• Document workflows, software applications, and standard operating procedures (SOPs).
• Work closely with interdisciplinary teams, including biologists, clinicians, and data scientists.
• Assist in preparing reports, manuscripts, and grant proposals.
• Present findings and software functionalities in meetings, conferences, and workshops.

Knowledge, Skills, and Abilities:

• Good communication skills for presenting data and collaborating with interdisciplinary teams.
• Ability to learn and adopt new technologies in bioinformatics.
• Knowledge of high-performance computing (HPC) and cloud computing environments.
• Basic knowledge of molecular biology concepts (e.g., gene expression, protein function).
• Ability to conduct research independently and within a team.
• Ability to work with minimal supervision.
• Effective communication, organization and documentation skills.

• Bachelor's degree or equivalent advanced learning attained through experience required.
• One (1) year of relevant work experience required.

College of Medicine-Phoenix, Office of Human Resources

HR-PHX@arizona.edu

Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

Letter of Interest: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).