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# Research Specialist II, AI & Data Science BS4973

- **Company:** The OSU/A&M System
- **Location:** Stillwater, OK, United States
- **Experience:** Experienced
- **Salary:** $42,120.0 - $56,160.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Bioinformatics, Cloud Computing, Computational Biology, Computer Programming, Databases, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Software Engineering, High Performance Computing, Deep Learning, Information Technology, Data Management
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/research-specialist-ii-ai-data-science-bs4973-stillwater-ok--8c5afd6a-f5b1-487d-adfd-57ee01c76878

## About the Role

Artificial Intelligence (AI), Data Science, Emerging Technology, Biology, Genomics, Data Science, Artificial Intelligence (AI), Research Skills, Forensic Science, Machine Learning, * Bachelor's
Computer Science, Data Science, Artificial Intelligence, Information Technology, or a closely related field.
(degree must be conferred on or before agreed upon start date)

 * 2 years' experience on software development for plant pathogen detection, phylogenetics and other software related to genomic analyses.
 + Programming experience relevant to AI, machine learning, and data analysis.
 + Strong analytical, problem-solving, and data management skills.
 + Ability to work independently and collaboratively in an interdisciplinary research environment.
 + Strong written and oral communication skills

Additional post-secondary education beyond requirements may substitute for years of required experience., * Master's
Computer Science, Data Science, Artificial Intelligence, Information Technology, or closely related field

 * Experience in one or more of the following:
 + Python and machine-learning/data-science libraries
 + Machine learning, deep learning, NLP, or computer vision.
 + Statistical analysis and data visualization.
 + Biological, genomic, microbiological, or other scientific datasets.
 + Bioinformatics, computational biology, microbial forensics, or biosecurity.
 + Databases, cloud computing, high-performance computing, or research computing.
 + Academic or research laboratory environments.