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Machine Learning Postdoc Jobs in Arizona (NOW HIRING)

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ · On-site

... machine learning, and analysis of structural and functional neuroimaging data. If you are ... one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. About Us Why Mayo Clinic Mayo ...

Mayo Clinic

Research Fellow-Psychiatry

Scottsdale, AZ

$67.28K - $78.71K/yr

... machine learning, and analysis of structural and functional neuroimaging data. If you are ... one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. Exemption Status Exempt ...

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$21.4K

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How much do machine learning postdoc jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning postdoc in Arizona is $110,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,310.00 and $152,427.00 per year, depending on experience, location, and employer.

What is a Machine Learning Postdoc job?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the key skills and qualifications needed to thrive in the Machine Learning Postdoc position, and why are they important?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What are the typical responsibilities and collaborative aspects of a Machine Learning Postdoc position?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.
More about Machine Learning Postdoc jobs
What are the most commonly searched types of Machine Learning Postdoc jobs in Arizona? The most popular types of Machine Learning Postdoc jobs in Arizona are:
What are popular job titles related to Machine Learning Postdoc jobs in Arizona? For Machine Learning Postdoc jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Postdoc jobs in Arizona look for? The top searched job categories for Machine Learning Postdoc jobs in Arizona are:
Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Arizona as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,677 per year, or $53.2 per hour.
Postdoctoral Research Associate I

Postdoctoral Research Associate I

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 15 days ago

University Of Arizona rating

7.0

Company rating: 7.0 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

366th of 530 rated colleges and universities

Job description

Postdoctoral Research Associate I
Posting Number
req26131
Department
Health Promotion Sciences
Department Website Link
https://publichealth.arizona.edu/departments/epidemiology-biostatistics
Location
Tucson Campus
Address
Tucson, AZ USA
Position Highlights
The Postdoctoral Research Associate will conduct independent and collaborative research at the intersection of intimate partner violence, reproductive and adolescent health across the United States, Latin America, and the Caribbean under the mentorship of Dr. Maeve Wallace in the Department of Health Promotion Sciences. The program of research is anchored in the US context and is being scaled into Latin American and Caribbean settings.
The position requires a scholar trained simultaneously in qualitative methods, advanced quantitative methods, and computational social science (including natural language processing and machine learning), with bilingual professional fluency in English and Spanish and a documented program of peer-reviewed scholarship in violence prevention and women's, adolescent, and reproductive health in U.S., Latin American, or Caribbean settings; expertise and experience in community-based participatory research are welcome.
Visa sponsorship is not available for this position.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A 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
  • Assist with secondary data collection, linkage, and management, and lead computational and epidemiologic analyses of data to achieve grant-funded aims, including natural language processing and machine-learning approaches.
  • Prepare first- and co-authored peer-reviewed manuscripts on intimate partner violence in pregnancy-associated homicide, suicide, and drug overdose deaths; intersectional analyses of violence and substance use; and other topics related to social and policy determinants of women's and adolescent health in U.S., Latin American, and Caribbean populations.
  • Lead journal submission, revisions, response-to-reviewer correspondence, and all other aspects of peer-reviewed publication.
  • Contribute to and lead federal and private foundation grant applications including but not limited to formulating research questions and specific aims, conducting preliminary analyses, drafting research strategy sections, and prepare data-management, restricted-access, and human-subjects documentation.
  • Develop and conduct international and binational collaborative research, including coordination of cross-jurisdictional IRB approvals, manage restricted-access data agreements, and support binational mixed-methods data collection and analysis.
  • Disseminate findings at national and international scientific meetings and to community, clinical, and policy stakeholders; provide methodological guidance and co-mentorship to graduate students working on linked projects in the Department of Health Promotion Sciences; and translate findings into briefs accessible to non-academic audiences in both English and Spanish.

Knowledge, Skills and Abilities:
  • Knowledge of U.S., Caribbean, and Latin American adolescent and reproductive health epidemiology.
  • Knowledge of intersectional analytic frameworks for identifying population subgroups where multiple violence- and health-risk dimensions converge.
  • Skill in community-based participatory research design and implementation, including community advisory board engagement and co-production of research products with community partners.
  • Skill in designing, training, validating, and interpreting supervised and dictionary-based natural language processing classifiers (TF-IDF with logistic regression, dictionary methods, transformer-based models) for unstructured public-health text.
  • Skill in mixed-methods design and integration, including triangulation of qualitative thematic analysis with quantitative survey results using joint display tables.
  • Skill in scientific writing and revision for peer-reviewed publication and in preparation of NIH-style research strategies, biosketches, and specific aims.
  • Ability to work independently, manage multiple concurrent analytic priorities under federal grant deadlines, and produce publication-ready deliverables with full methodological documentation.
  • Ability to develop and lead binational and multi-site research collaborations, including cross-jurisdictional IRB coordination, restricted-access data management, and community-based participatory research partnerships.
  • Ability to communicate technical findings clearly to interdisciplinary research teams and to Spanish-speaking community, clinical, and policy stakeholders in both English and Spanish.

Minimum Qualifications
  • Doctoral degree (PhD, ScD, or DrPH) in Health Behavior and Health Promotion, public health, epidemiology, demography, sociology, anthropology, or a closely related interdisciplinary social or behavioral science discipline, conferred prior to the position start date.
  • Documented graduate-level training in computational social science (e.g., graduate certificate, formal summer institute, or equivalent coursework), with demonstrated proficiency in supervised natural language processing or machine-learning classification of unstructured surveillance, clinical, or administrative text data.
  • Documented graduate-level training in qualitative research methods (ethnography, grounded theory, focus group facilitation, or in-depth interviewing), evidenced by peer-reviewed qualitative publication and proficiency with qualitative analysis software (e.g., Atlas.ti, NVivo).
  • Documented training in advanced quantitative methods, including survey-weighted regression, multilevel modeling, and other epidemiologic and econometric approaches applied to large datasets.
  • Documented record of peer-reviewed scholarship comprising including first-authored peer-reviewed publications or accepted manuscripts in public health, epidemiology, behavioral or social science, or allied disciplines.
  • Documented experience leading investigator-initiated mixed-methods study, feasibility study, or formative trial, including IRB protocol development across multiple jurisdictions and management of restricted-access data agreements.
  • Field-research experience with Latin American or Caribbean populations, including communities in Latin America, the Caribbean, or Latin American-origin communities in the United States, with full professional fluency in both English and Spanish.
  • Proficiency in R and Python for reproducible computational and statistical analysis, including familiarity with version control (Git/GitHub).

Preferred Qualifications
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
Target Hire Date
Expected End Date
Contact Information for Candidates
Scott Carvajal I carvajal@arizona.edu
Open Date
5/29/2026
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.
Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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