Research Assistant Professor of Computer Science - Omics Data Science for Immuno-Engineering

About the role

The School of Computer Science at the University of Oklahoma invites the applications for two non-tenure track Research Assistant Professor positions in Omics Data Science and Bioinformatics for Immuno-Engineering. These research-focused faculty positions will support interdisciplinary multi-omics research through collaborative data analysis and methodology development for immuno-engineering applications.

Responsibilities

• Collaborate on multi-omics data analysis projects focusing on immuno-engineering applications.
• Develop and apply novel computational methods for analyzing complex biological datasets.
• Contribute to the design and implementation of bioinformatics pipelines for data integration and interpretation.
• Engage in interdisciplinary collaborations with researchers from various departments within the university.
• Present research findings at national and international conferences and publish in high-impact journals.

Requirements

• A PhD in Computer Science, Bioinformatics, Biostatistics, or a related field.
• Experience with omics data analysis, including genomics, proteomics, and metabolomics.
• Strong programming skills in Python, R, and/or other relevant languages.
• Background in machine learning, statistical modeling, and data visualization.
• Ability to work independently and collaboratively in a multidisciplinary team environment.

Qualifications

• Proven record of academic achievement and publication in peer-reviewed journals.
• Excellent communication and presentation skills.
• Interest in interdisciplinary research and collaboration across different scientific disciplines.

Skills

• Expertise in bioinformatics and computational biology.
• Knowledge of omics data analysis tools and platforms.
• Experience with cloud computing and big data technologies.
• Ability to mentor graduate students and postdoctoral researchers.

Benefits

• Competitive salary commensurate with experience.
• Inclusive benefits package including health insurance, retirement plans, and paid time off.

Pay

Salary is competitive and commensurate with experience.

Schedule

The position is full-time and offers a flexible schedule to accommodate research needs and collaborations.