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Data Review Scientist Jobs in Arizona (NOW HIRING)

Our data science teams also embrace staying current with the evolving data science landscape ... Serve as a peer reviewer to other model development teams * Work on complex problems of diverse ...

... and reviewing business requirements • Design, build, develop and maintain the Analytical ... • Partnering with other data scientists/business analysts to make them familiar with the ...

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... For further information, please review the Know Your Rights notice from the Department of Labor.

Strong experience with software engineering best practices (Git, code reviews, modular design ... data science workflows. * Demonstrated expertise with common commercial analytics topics (e.g ...

Strong experience with software engineering best practices (Git, code reviews, modular design ... data science workflows. * Demonstrated expertise with common commercial analytics topics (e.g ...

Strong experience with software engineering best practices (Git, code reviews, modular design ... data science workflows. * Demonstrated expertise with common commercial analytics topics (e.g ...

Serve as a peer reviewer to other model development teams * Establish and leverage a network of ... Our Data Scientists also embrace staying current with the evolving data science landscape. The ...

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or ... Participate in code reviews, technical discussions, and knowledge sharing. * Assist with data ...

... review audiences. * Assesses business needs to propose/recommend analytical and modeling projects ... Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

Sr Data Scientist

Scottsdale, AZ · On-site

$123K - $183K/yr

Drive best practices in data science. * Ensure data quality and integrity in all processes ... PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews ...

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... In this role, you will review, evaluate, and refine AI-generated technical and analytical content ...

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Showing results 1-20

Data Review Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do data review scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data review scientist in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What does a data review scientist do?

A Data Review Scientist is responsible for reviewing, validating, and interpreting scientific data to ensure its accuracy, integrity, and compliance with regulatory standards. They often work in pharmaceutical, clinical, or research settings, analyzing experimental or clinical trial data for errors, inconsistencies, and completeness. Their work helps ensure that scientific findings are reliable and can be used to support research conclusions or regulatory submissions.

What are the key skills and qualifications needed to thrive as a data review scientist?

To thrive as a Data Review Scientist, you need a solid background in life sciences or related fields, strong analytical skills, and experience with data validation and interpretation. Familiarity with data management systems such as LIMS, proficiency in statistical analysis tools like SAS or R, and knowledge of regulatory guidelines (e.g., GxP, FDA) are typically required. Attention to detail, critical thinking, and effective communication help ensure accuracy and clarity when reviewing complex datasets and collaborating with cross-functional teams. These skills are crucial for maintaining data integrity and supporting regulatory compliance in scientific research and clinical trials.

What are some common challenges faced by data review scientists when ensuring data integrity in research projects?

Data Review Scientists often encounter challenges such as identifying inconsistencies in large datasets, resolving discrepancies between source documents and digital records, and ensuring strict adherence to regulatory standards like GLP or GCP. They must also coordinate with cross-functional teams, including laboratory staff and data managers, to clarify data queries and implement corrective actions promptly. Staying updated with evolving data management technologies and regulatory requirements is crucial for success and helps maintain the highest levels of data integrity throughout research projects.

What is the difference between Data Review Scientist vs Data Analyst?

AspectData Review ScientistData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; familiarity with data review toolsBachelor's degree in data analysis, statistics, or related field; proficiency in data visualization and analysis software
Work EnvironmentHealthcare, clinical trials, or research settings focusing on data quality and complianceBusiness, marketing, finance, or operations across various industries analyzing data trends
Employer & Industry UsagePharmaceutical companies, research institutions, healthcare organizationsCorporations, marketing agencies, financial firms, and tech companies

While both roles involve working with data, Data Review Scientists primarily focus on ensuring data quality and compliance in research or clinical settings, whereas Data Analysts interpret data to inform business decisions across diverse industries.

What are popular job titles related to Data Review Scientist jobs in Arizona?

For Data Review Scientist jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Review Scientist jobs in Arizona look for?

The top searched job categories for Data Review Scientist jobs in Arizona are:

What cities in Arizona are hiring for Data Review Scientist jobs?

Cities in Arizona with the most Data Review Scientist job openings:

Infographic showing various Data Review Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Data Scientist, Data & Science Solutions

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Re-posted 15 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.

We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day:"What would I do if this patient were my mom?"That question drives everything we do.

But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.

Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.

Position Summary

Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.

Job Responsibilities

  • Contribute to analytics and research that support internal stakeholders and external partners.

  • Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.

  • Support preparation of analytical results and figures for internal reviews and client-facing discussions.

  • Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.

  • Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.

  • Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.

    Required Qualifications

    • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.

    • Strong programming skills in Python or R, with experience developing reproducible analysis workflows.

    • Experience with Linux ecosystem, Git, and queries from SQL or related database families.

    • Experience with molecular genetics data and/or multimodal real-world data (RWD).

    • Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.

    • Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

    Preferred Qualifications

    • Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.

    • Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.

    • Good code documentation practices and experience with workflow management packages.

    • Experience working in cloud or HPC clusters.

    Physical Demands

    • Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.

    • Visual acuity and analytical skill to distinguish fine detail.

    • Must possess ability to sit and/or stand for long periods of time.

    Training

    • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

    Other

    • This position may require periodic travel and some evenings, weekends, and/or holidays.

    Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check( applicable for certain positions) and reference verification.

    This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

    Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.