Data Analytics Analyst/Trainer
Faculty - Career
Research/Scientific/Grants, Data Science
Office of the Provost
Research Assistant or Research
Review of Applications Begins
1/31/21; position open until filled.
Special Instructions to Applicants
Please submit the following materials with your application:
1. A C.V. or resume
2. A cover letter that describes how your knowledge, skills, and
abilities align with the job responsibilities and requirements
listed in the job announcement
3. Names and contact information for 3 professional
Oregon State University (OSU), University of Oregon (UO), and
Portland State University (PSU) 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. There will
be four analysts/trainers each with expertise in one or more of
these three areas and collectively spanning all three areas; two at
OSU, one at UO, and one at PSU. These positions will collaborate
with, assist, and train scientists of all levels in data analysis
**In order to be considered for positions at OSU and PSU
candidates also will need to apply to each individual institution
by visiting the links below:
Oregon State University:
Portland State University:
The two positions at OSU will be located in the Center for Genome
Research and Biocomputing at Oregon State University and one each
in the Data Science Initiative at the University of Oregon and in
the Center for Life in Extreme Environments at Portland State
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,woul and students.
Appointees are required to collaborate in a collegial and inclusive
fashion with university staff and clients in the execution of all
This position will interact with a wide variety of faculty, staff,
and students representing a broad range of expertise and cultural
backgrounds. This position will support each university's mission
of equity, inclusion, diversity and social justice by respecting,
welcoming and supporting the diverse perspectives of our clientele.
We are currently engaged in work bringing STEM learning to
underrepresented groups, so candidates with experience and
interests in outreach and engagement with underserved communities
are warmly encouraged to apply.
- Master's degree in data analytics, statistics, bioinformatics,
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.
- 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
- Strong organizational and time management skills.
- A demonstrable commitment to promoting and enhancing
- PhD in bioinformatics, computational biology, computer science,
engineering, mathematics, statistics, or related field.
- Research experience in life, health, earth or marine
- Teaching experience in life, health, earth or marine
- Experience with distance learning technologies and
- Experience in a Linux or Unix environment.
- Experience as an industry or academic consultant in data
analytics, statistics, bioinformatics, or computer
- Undergraduate degree or diploma in computer science, statistics
- 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
The University of Oregon is proud to offer a robust benefits
package to eligible employees, including health insurance,
retirement plans and paid time off. For more information about
benefits, visit http://hr.uoregon.edu/careers/about-benefits.
The University of Oregon is an equal opportunity, affirmative
action institution committed to cultural diversity and compliance
with the ADA. The University encourages all qualified individuals
to apply, and does not discriminate on the basis of any protected
status, including veteran and disability status. The University is
committed to providing reasonable accommodations to applicants and
employees with disabilities. To request an accommodation in
connection with the application process, please contact us at
email@example.com or 541-346-5112.
UO prohibits discrimination on the basis of race, color, sex,
national or ethnic origin, age, religion, marital status,
disability, veteran status, sexual orientation, gender identity,
and gender expression in all programs, activities and employment
practices as required by Title IX, other applicable laws, and
policies. Retaliation is prohibited by UO policy. Questions may be
referred to the Title IX Coordinator, Office of Civil Rights
Compliance, or to the Office for Civil Rights. Contact information,
related policies, and complaint procedures are listed on the
In compliance with federal law, the University of Oregon prepares
an annual report on campus security and fire safety programs and
services. The Annual Campus Security and Fire Safety Report is
available online at http://police.uoregon.edu/annual-report.
To apply, visit https://careers.uoregon.edu/en-us/job/525925/data-analytics-analysttrainer