Faculty Research Assistant; Computer Science

Faculty Research Assistant (Computer Science)

The College of Engineering invites applications for a part-time (0.50

FTE), 12-month, fixed-term, Faculty Research Assistant position. Reappointment is at the discretion of the School Head. This position involves analyzing data related to noncoding RNAs. Development of machine learning pipelines and approaches to analyzing and clustering data and predicting features in noncoding RNAs.

Why OSU? Oregon State University is a dynamic community of dreamers, doers, problem-solvers and change-makers. We don't wait for challenges to present themselves — we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all.

Key Responsibilities:

Implement algorithms for analysis of noncoding RNAs, implement computer code for conducting experiments and conduct experiments, prepare reports, perform data analysis/draw conclusions from analysis, assist with writing manuscripts for peer-reviewed publications, work collaboratively with staff, faculty, and students to create a safe, respectful, and inclusive research environment.

What You Will Need:

Bachelor's degree in Computer Science or a related area, experience working effectively with diverse groups of students, researchers, and staff. This position is designated as a critical or security-sensitive position; therefore, the incumbent must successfully complete a criminal history check and be determined to be position qualified as per University Standard: 05-010 et seq. Incumbents are required to self-report convictions and those in youth programs may have additional criminal history checks every 24 months.

What We Would Like You to Have:
Master's degree in computer science, strong programming skills, excellent knowledge of machine learning including deep learning, knowledge of working with biological sequences and associated data.