Data Analytics Analyst/Trainer

Data Analytics Analyst/Trainer

Job no: 525925
Work type: Faculty - Career
Location: Eugene, OR
Categories: Research/Scientific/Grants, Data Science

Department: Office of the Provost
Rank: Research Assistant or Research Scientist
Annual Basis: 12 Month

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 references

Department Summary
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 research.

**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:
http://jobs.oregonstate.edu/postings/96174

Portland State University:

https://jobs.hrc.pdx.edu/postings/33811

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 University.

Position Summary
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 job functions.

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.

Minimum Requirements

• 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
  
  Professional Competencies
  
• Demonstrated problem-solving skills, independence, high motivation, and excellent communication skills, both orally and written.
  
• Strong organizational and time management skills.
  
• A demonstrable commitment to promoting and enhancing diversity
  
  Preferred Qualifications
  
• PhD in bioinformatics, computational biology, computer science, engineering, mathematics, statistics, or related field.
  
• Research experience in life, health, earth or marine sciences
  
• Teaching experience in life, health, 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
  
  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 uocareers@uoregon.edu 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 statement of non-discrimination.
  
  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
  
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