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Data Science Research Assistant Jobs in Arizona (NOW HIRING)

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

CommonSpirit Health

Research Scientist I

Phoenix, AZ

Your ability to plan research, contribute to publications, and assist in securing funding will be paramount. The Barrow Neuro Analytics Center (BNAC) is a data science-focused research facility led ...

Care Access

Clinical Research Assistant

Mesa, AZ · On-site

$19 - $33/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

How This Role Makes a Difference The Clinical Research Assistant is an entry level clinical ... Record data legibly and enter in real time on paper or e-source documents * Update all applicable ...

Care Access

Clinical Research Assistant

Mesa, AZ

$19 - $33/hr

How This Role Makes a Difference The Clinical Research Assistant is an entry level clinical ... Documentation  * Record data legibly and enter in real time on paper or e ...

Care Access

Clinical Research Assistant

Mesa, AZ · On-site

$19 - $33/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

How This Role Makes a Difference The Clinical Research Assistant is an entry level clinical ... Record data legibly and enter in real time on paper or e-sourcedocuments * Update all applicable ...

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All JobsData Science Research JobsData Science Research Assistant JobsData Science Research Assistant Jobs in Arizona

Data Science Research Assistant information

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How much do data science research assistant jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data science research assistant in Arizona is $20.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $23.75 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are popular job titles related to Data Science Research Assistant jobs in Arizona?

For Data Science Research Assistant jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant jobs in Arizona look for?

The top searched job categories for Data Science Research Assistant jobs in Arizona are:

What cities in Arizona are hiring for Data Science Research Assistant jobs?

Cities in Arizona with the most Data Science Research Assistant job openings:

Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $42,467 per year, or $20.4 per hour.

Vice President - Data Science

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Caris Life Sciences is transforming cancer care through precision medicine and innovative approaches. The Vice President, Data Science provides senior leadership for AI-driven clinical insights and predictive modeling initiatives, overseeing a multidisciplinary team and ensuring the delivery of impactful AI innovations.
Responsibilities:
• Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris’ molecular profiling platforms.
• Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
• Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
• Establish governance and standards for model development, validation, documentation, and lifecycle management.
• Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.
• Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
• Oversee engineering and production deployment of AI pipelines within Caris’ clinical reporting infrastructure.
• Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
• Lead development of clinically interpretable reporting frameworks for physicians.
• Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
• Build, mentor, and lead high-performing teams of data scientists and computational biologists.
• Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.
• Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.
Qualifications:
Required:
• PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
• 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.
• Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.
• Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.
• Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.
• Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.
• Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.
• Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.
• Outstanding verbal and written communication skills.
• Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.
• This is an onsite role based at our Phoenix, AZ office and requires regular in‑person presence.
Preferred:
• Experience working in regulated clinical laboratory environments (CAP/CLIA).
• Familiarity with cloud computing platforms and large-scale data infrastructures.
• Experience translating advanced analytics into physician-facing clinical products.
Company:
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology. Founded in 2008, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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