[ES_JOBS_NET] Scientific Programmer and Educator position at University of Arizona

[David Shaner LeBauer]

My group is hiring a Scientific Programmer and Educator to help us support
research in the College of Ag and Life Sciences at the University of
Arizona. Please see details below, and feel free to contact me with any
questions about the position and apply here:
https://arizona.csod.com/ux/ats/careersite/4/home/requisition/8094

SCIENTIFIC PROGRAMMER AND EDUCATOR
Posting Number req8094
Department Communications & Cyber Tech
Department Website Link https://cals.arizona.edu/
Location Main Campus
Address Tucson, AZ USA
Position Highlights The Data Science Institute and the University of
Arizona College of Agriculture and Life Sciences Data Science team have two
openings for a scientific software engineer and educator. The ideal
candidate is either a domain scientist with software and programming
experience or a software engineer with experience applying computational
and statistical methods to support scientific research.

The incumbents will split time between providing support on research
projects and offering training across campus. With multiple openings, we
are hoping to find two with complimentary experience and skills.

The education component of the position will develop, enhance and expand
the Data Science Institute’s capabilities to develop curriculum and provide
just-in-time training, workshops, consultation and support for students,
faculty and staff wanting to learn foundational tools and concepts of data
science and reproducible computational science. This will include broad
collaboration across the data science community, including with other
campus partners and trainers related to computational science and data
science.

The research component of the position will directly support research
projects across the College of Agriculture and Life Sciences, Cooperative
Extension, and Experiment Station. They will be expected to conduct and
communicate reproducible research, data management, and analysis.

*Outstanding UA benefits include health, dental, and vision insurance
plans; life insurance and disability programs; paid vacation, sick leave,
and holidays; UA/ASU/NAU tuition reduction for the employee and qualified
family members; state and optional retirement plans; access to UA
recreation and cultural activities; and more!*

The University of Arizona has been recognized for our innovative work-life
programs. For more information about working at the University of Arizona
and relocations services, please click here <http://talent.arizona.edu/>.
Duties & Responsibilities

The positions will be split approximately 50:50 between research and
education.

Building computational and data science capacity:

●Develop and deliver workshops and related training materials on
computational science and data science. Workshop topics may include but are
not limited to computational notebooks, tools for reproducible computing,
statistics, remote sensing, machine learning, visualization, and data
management.
●Work with campus partners and other trainers in delivery of workshops and
training materials related to data science.
●Participate with and offer trainings for programs such as the Data Science
Ambassadors, Roots for Resilience Graduate Fellowship and the Data Science
Fellows programs.
●Use and follow best practices in developing training materials, scientific
computing, data and code management, documentation and digital forms of
communication.

Research

●Enable research in the College of Agriculture and Life Sciences,
Cooperative Extension, and Experiment Station.
●Develop and lead 'incubator' projects with researchers across campus.
●Provide computational, statistical, and domain expertise for larger,
externally funded projects. Possible scientific domain knowledge include:
earth and environmental sciences, agriculture, or ecophysiology.

●The incumbent will have flexibility to work on a variety of other projects
across the College of Agriculture and Life Sciences, Experiment Station,
and Cooperative Extension. You can learn more about our group at
datascience.cals.arizona.edu.

Outreach

●Engage and interact with campus collaborators and related professional
organizations; represent the Data Science Institute at workshops, meetings
and conferences.
●Contribute to University of Arizona data science community events such as
Coffee & Code, Hacky Hour, Women in Data Science, RezBaz, and Machine
Learning Literacy Project events.

General Duties:

●Develop analytical pipelines
●Work with researchers to enable new computational methods
●Meet regularly with group members and collaborators
●Work in an iterative, agile environment

Examples of Project Responsibilities:

●Run ecological models using the PEcAn framework
●Develop reproducible analyses and scalable workflows
●Develop and apply statistical models
●Develop, refactor, test, and document scientific R packages, Python
libraries
●Create and improve visualizations and interpretation of results
●Curate and manage data
●Develop APIs, Dashboards, and other custom software
Minimum Qualifications ●Master’s degree required.
●Experience in scientific software development.
●Proficiency in R or Python.
●Experience with version control
●Experience with cloud and / or cluster computing.
●Experience teaching computational skills.
●Demonstrated ability to work collaboratively in a team.
Preferred Qualifications
- PhD in a related field. Experience with Bayesian analysis, data
management, scientific publishing, project management, containers, testing,
remote sensing, R package, or Python library development.
- Possible scientific domain knowledge include: earth and environmental
sciences, agriculture, or ecophysiology.
FLSA Exempt
Full Time/Part Time Full Time
Number of Hours Worked per Week 40
Job FTE 1.00
Work Calendar Fiscal
Job Category Research
Benefits Eligible Yes - Full Benefits
Rate of Pay 55000 - 70000
Compensation Type salary at 1.0 full-time equivalency (FTE)
Grade 9
Career Stream and Level PC3
Job Family Research & Data Analysis
Job Function Research
Type of criminal background check required: Name-based criminal background
check (non-security sensitive)
Number of Vacancies 2
Target Hire Date 1/17/2022
Expected End Date
Contact Information for Candidates

David LeBauer

dlebauer at email.arizona.edu

Communications & Cyber Tech Director, Data Sciences

Search Committee Chair
Open Date 12/17/2021
Open Until Filled Yes
Documents Needed to Apply Resume and Cover Letter
Special Instructions to Applicant
Diversity Statement At the University of Arizona, we value our inclusive
climate because we know that diversity in experiences and perspectives is
vital to advancing innovation, critical thinking, solving complex problems,
and creating an inclusive academic community. As an Hispanic-serving
institution, we translate these values into action by seeking individuals
who have experience and expertise working with diverse students,
colleagues, and constituencies. Because we seek a workforce with a wide
range of perspectives and experiences, we provide equal employment
opportunities to applicants and employees without regard to race, color,
religion, sex, national origin, age, disability, veteran status, sexual
orientation, gender identity, or genetic information. As an Employer of
National Service, we also welcome alumni of AmeriCorps, Peace Corps, and
other national service programs and others who will help us advance our
Inclusive Excellence initiative aimed at creating a university that values
student, staff and faculty engagement in addressing issues of diversity and
inclusiveness.

-- 
David LeBauer
Director of Data Sciences
ALVSCE Communications and Cyber Technologies
THE UNIVERSITY OF ARIZONA

BSRL, 207
1230 N Cherry Ave | Tucson, AZ 85721
Office: 520-621-4381 | Cell: 760-468-8621
dlebauer at arizona.edu

*datascience.cals.arizona.edu <https://datascience.cals.arizona.edu>*
*schedule a meeting with me* <https://dlebauer.youcanbook.me/>
orcid <https://orcid.org/0000-0001-7228-053X> | twitter
<https://twitter.com/dlebauer> | github <https://www.github.com/dlebauer> |
linkedin <https://www.linkedin.com/in/dlebauer/>

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