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Database Platform Jobs In Tucson Az - 9 Job Positions Available

1 – 7 of 9 jobs
Clinisys jobs

Purpose As a Professional Services Consultant working with laboratories staff, you will deliver implementation and/or consulting to projects to achieve successful on-time project with client satisfaction. You will provide clients with mentorship and advice for workflow

Clinisys  24 days ago
Clinisys jobs

Purpose As a Professional Services Consultant, you will deliver implementation or consulting projects to achieve successful on-time schedule completion and client satisfaction. You will provide clients with mentorship and advice for workflow planning and drive the

Clinisys  24 days ago
University of Arizona jobs

Multimedia Design Assistant II, Psychiatry(Part-Time) Posting Numberreq26936 DepartmentPsychiatry Department Website Linkhttps://medicine.arizona.edu/psychiatry LocationTucson Campus AddressSouth Campus, 2800 E. Ajo Way, Tucson, AZ 85719 USA Position Highlights The Department of Psychiatry seeks a highly motivated Multimedia Design Assistant

University Of Arizona  14 days ago
TEK Systems jobs

*ONSITE IN TUCSON-HYBRID. ONLY APPLY IF YOU ARE LOCAL AND YOUR RESUME QUALIFIES* Description Non-Negotiables •Strong customer service and communication skills •Ability to interpret and apply policies and procedures •Ability to manage competing priorities in a

TEK Systems  10 days ago
RTX jobs

Date Posted:2026-09-24 Country:United States of America Location:US-AZ-TUCSON-9024 ~ 9024 S Rita Rd ~ BLDG 9024 Position Role Type:Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required

RTX  4 days ago
MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  17 days ago
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MAXIMUS jobs

Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side

MAXIMUS  17 days ago

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