Data Scientist III

Data Scientist III

Posting Number
req14071

Department
Communications & Cyber Tech

Department Website Link
https://alvsce.arizona.edu/

Location
Main Campus

Address
Tucson, AZ USA

Position Highlights

The Division of Agriculture, Life, & Veterinary Sciences, and Cooperative Extension (ALVSCE) is seeking a scientific programmer who can help elevate the data science capacity and research in our division. The CCT Data Science team supports researchers across ALVSCE by helping scientists with analysis, software, data, and computing. The team offers training to researchers in the form of workshops and short courses and one-on-one help through office hours.

The team also provides research support in the form of short term internally funded 'incubator projects' as well as longer term engagement with externally funded research programs. Incubator projects are five to ten days of work on focused, intensive, collaborative projects spread out over three to six months that often lead to publications and funding.

Depending on experience and interest, contributions may include developing reproducible analyses, scalable workflows or software; applying and interpreting statistical models, developing APIs, dashboards, databases, visualizations and aiding in the interpretation of results. Curating and managing data. Group members are encouraged to learn and apply new skills.

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.

Duties & Responsibilities

The University of Arizona was established in 1885 as thestate's land-grant university andhouses two medical schools,in Tucson and Phoenix. Recognized as a global leader, theUA is also a leader in research, bringing more than $734 million inresearch investment each year, and ranked as a top 20 public researchinstitution. For more information about working at the University ofArizona: http://www.whyua.arizona.edu/.

Weseek candidates that will strengthen current efforts by the University and theCCT Data Science to promote diversity, equity, and inclusivity initiatives oncampus, and who will help to promote programs that seek to increaseparticipation from traditionally underrepresented groups in STEM.

Dutiesand Responsibilities:

Research:

• The incumbent will have flexibility to develop and work on avariety of projects that Enable research across ALVSCE.
• Develop and lead 'incubator' projects with researchers acrosscampus.
• Provide computational, statistical, and domain expertise forlarger, externally funded projects.
• Optionally publish manuscripts and contribute to or leadgrants

Building computational and data science capacity:

• Work with researchers to enable new computationalmethods
• Develop and deploy analytical pipelines.
• Follow and demonstrate best practices in scientificcomputing, data and code management, documentation, and digital forms ofcommunication.
• Opportunity to develop and deliver workshops and relatedtraining materials on computational science and data science.

Outreach:

• Engage and interact with campus collaborators;represent the Data Science team at workshops, meetings, and conferences.
• Meet regularly with group members and collaborators

Minimum Qualifications

• Master'sdegree and 5 years of relevant work experience required, or any equivalentcombination of experience and education.
• Experience with reproducible scientific programming.
• Experience with Python.
• Experience with machine learning or advanced statistical methods.
• Experience working collaboratively in a team.
• Experience teaching scientists new skills.

Preferred Qualifications

• A PhD with a significant computational component.
• Training and experience in research domains and data science skills that complement those of current group members.
• Experience with software such as JavaScript, R, and databases.
• Experience with databases and cloud computing.
• Experience with version control, particularly git and GitHub.
• Research experience in physical, social, health, or human sciences.

FLSA
Exempt

Full Time/Part Time
Full Time

Number of Hours Worked per Week
40

Job FTE
1.0

Work Calendar
Fiscal

Job Category
Research

Benefits Eligible
Yes - Full Benefits

Rate of Pay
$60,692 - $80,000, DOE

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
1

Target Hire Date

Expected End Date

Contact Information for Candidates
Kristina Riemer
kristinariemer@arizona.edu

Open Date
3/23/2023

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 a 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.