Research Associate

Position Number: D93323

Description:

Various assignments for fixed-term instructional and research faculty may include direct instruction, supporting scholarly activities, and service to the University, community, and profession. Expectations for the position are summarized below and will be the principal components upon which annual review and reappointment decisions will be based. The position description is incorporated by reference in the Notice of Appointment, consistent with the practices outlined for fixed-term faculty in the current PSU-AAUP collective bargaining agreement (Article 18).

Oregon State University, University of Oregon, and Portland State University are establishing an interdisciplinary cross-institutional team of data science analysts/trainers to conduct data integration, multi-modal data analytics, and machine learning research and training. We are hiring four analyst/trainers each with expertise in one or more of these three areas and collectively spanning all three areas. These positions will collaborate with, assist, and train scientists of all levels in data analysis research.

Two positions will be located in the Center for Genome Research and Biocomputing at Oregon State University and one each in the Data Science Services Center at the University of Oregon and in the Center for Computational and Data Science at Portland State University. Appointees will jointly serve researchers at the three institutions, as well as smaller institutions across Oregon and southern Washington. They will nucleate and integrate a wider team of data analytics professionals to support each other, connect to relevant expertise, and promote cross-institutional collaboration. They will provide consulting (project planning; proposal assistance), data analysis, teach training courses, and arrange colloquia to inform and instruct faculty, staff and students. Appointees are required to collaborate in a collegial and inclusive fashion with university staff and clients in the execution of all job functions.

Minimum Qualifications:

● M.S. or higher degree in data analytics, statistics, bioinformatics, physics, or computer science, or related field (at time of hire).
● Minimum of one term experience as a teaching assistant in data analytics, statistics, computational biology or computer science, or equivalent experience with formalized delivery of training in an industrial, academic or other setting.
● Demonstrable research or teaching experience in data integration, multi-modal data analytics, or machine learning
● Demonstrated problem-solving skills, independence, high motivation, and excellent communication skills, both orally and written.
● Strong organizational and time management skills.

Preferred Qualifications:

● Ph.D. in bioinformatics, computational biology, computer science, engineering, mathematics, statistics, physics, or related field.
● Research experience in life, health, physical, earth or marine sciences
● Teaching experience in life, health, physical, earth or marine sciences
● Experience with distance learning technologies and methodologies.
● Experience in a Linux or Unix environment.
● Experience as an industry or academic consultant in data analytics, statistics, bioinformatics, or computer science.
● Undergraduate degree or diploma in computer science, statistics or equivalent.
● Proficiency in one or more programming languages (R, Python, CUDA, Java, or
similar)
● Experience working in a service position.
● Experience in outreach and engagement with underserved communities
● A demonstrable commitment to promoting and enhancing diversity