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Associate Machine Learning Government Jobs in Arizona

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... government payer programs and Medicaid - Experience with NLP or unstructured clinical text ...

Design, develop, and deploy machine learning models and advanced analytics to improve SOC alert ... The company serves as a valued partner to essential government agencies and supports every branch ...

Design, develop, and deploy machine learning models and advanced analytics to improve SOC alert ... The company serves as a valued partner to essential government agencies and supports every branch ...

Design, develop, and deploy machine learning models and advanced analytics to improve SOC alert ... The company serves as a valued partner to essential government agencies and supports every branch ...

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Machine Technician / Production Associate - Tolleson AZ Compensation: Starting pay of $20.00-25.00 ... Interest in career development and personal learning. * Excellent organizational, time management ...

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Machine Technician / Production Associate - Tolleson AZ Compensation: Starting pay of $20.00-25.00 ... Interest in career development and personal learning. * Excellent organizational, time management ...

Showing results 21-40

Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are popular job titles related to Associate Machine Learning Government jobs in Arizona?

For Associate Machine Learning Government jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Government jobs in Arizona look for?

The top searched job categories for Associate Machine Learning Government jobs in Arizona are:

What cities in Arizona are hiring for Associate Machine Learning Government jobs?

Cities in Arizona with the most Associate Machine Learning Government job openings:

Infographic showing various Associate Machine Learning Government job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Postdoctoral Research Associate I, Translational Cardiovascular Research Center (Phoenix)

Phoenix, AZ • On-site

Phase2 Technology
Software Development • 51 - 200 employees

Other

Medical, Dental, Vision, Life, PTO

Posted 9 days ago


Job description

Postdoctoral Research Associate I, Translational Cardiovascular Research Center (Phoenix)

Posting Number: req24842

Department: COM Phx Trans Cardio Rsrch Ctr

Department Website Link: College of Medicine-Phoenix

Location: Greater Phoenix Area

Address: 475 N. 5th St., Phoenix, AZ 85004 USA

Position Highlights: The University of Arizona College of Medicine - Phoenix (COM-P) is seeking a highly motivated candidate for the full-time position of Postdoctoral Research Associate in Dr. Tobias Jakobi's laboratory. Our lab is focused on understanding the interplay of different RNA species and underlying functional networks in the heart with the goal of developing methods for the early diagnosis of heart disease as well as novel treatment options by employing state-of-the-art computational approaches.

The ideal candidate should have a strong background in algorithm development, transcriptomics, sequencing data processing, and/or applied machine learning. The individual will develop novel algorithms to analyze large and complex biomedical data sets and contribute towards research and research-related service in translational cardiovascular research. The Postdoctoral candidate will benefit from the interaction with a dynamic and interdisciplinary environment at the University of Arizona College of Medicine - Phoenix.

The University of Arizona College of Medicine - Phoenix anchors the 28-acre Phoenix Bioscience Core in the heart of the Valley of the Sun. The College inspires and trains individuals to become exemplary physicians, scientists and leaders who are life-long learners and inquisitive scholars. The Phoenix Biomedical Campus embodies the University's priorities of engagement, partnership, innovation, and synergy in its world-class academic and research initiatives, with clinical facilities throughout Greater Phoenix.

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

  • Develop and maintain detailed records of experiments, analyzing and writing findings.
  • Assist with preparation of grants and manuscripts.
  • Present manuscripts, oral presentations, posters, and research findings at national and international conferences.
  • Plans, coordinates, and conducts scientific research requiring judgment in the independent evaluation, selection, and substantial adaptation and modification of standard scientific techniques. Serves as principal investigator, as appropriate, on sub-projects of complexities consistent with the above criteria.
  • Generate new ideas and projects for development.
  • Designs, performs, and/or oversees experiments and data collection to ensure data integrity, quality control, and protocol compliance.
  • Collects, analyzes, and interprets data. Prepares statistical and narrative reports and/or graphs as appropriate to the specific position. Prepares manuscripts for publication. Presents research results to scientific conferences and other groups.
  • Share supervisory responsibility for research technical staff including graduate and undergraduate students.
  • Attend regular group meetings; manage, maintain, and order laboratory equipment and supplies; and respond to administrative requests and procedures.

Knowledge, Skills & Abilities:

  • Strong computational skills in programming languages (e.g., Python, R, Perl) and software tools for bioinformatics analysis.
  • Excellent communication skills (both written and verbal) for presenting research findings and writing grants.
  • Proficiency with bioinformatics databases (e.g., Ensembl, NCBI, UniProt) and tools (e.g., BLAST, Bowtie, SAMtools).
  • Knowledge of statistical methods and machine learning techniques for biological data analysis.
  • Strong problem-solving skills with attention to detail and data integrity.

Minimum Qualifications:

  • PhD in biomedical science, molecular biology or vascular biology, biochemistry, physiology or related field is required.

Preferred Qualifications:

  • Experience in molecular biology.
  • Experience with large-scale data analysis (e.g., next-generation sequencing, proteomics, transcriptomics, metabolomics).
  • Proven track record of scientific publications in peer-reviewed journals.
  • Collaboration experience with experimental biologists and interdisciplinary teams.
  • Experience with high-performance computing environments (e.g., Linux, cloud computing, cluster management).

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: NIH salary guidelines, Depends on Experience

Compensation Type: salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required: Name-based criminal background check (non-security sensitive)

Number of Vacancies: 1

Contact Information for Candidates:

College of Medicine-Phoenix, Office of Human Resources

Talent@arizona.edu

Open Date: 1/5/2026

Open Until Filled: Yes

Documents Needed to Apply: Curriculum Vitae (CV) and Cover Letter

Special Instructions to Applicant

Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

Letter of Interest: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).

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