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Irb Analyst Jobs in Arizona (NOW HIRING)

Data Analysis and Machine Learning Pipeline Development: * Under moderate guidance collaborate in ... Ensure data quality, reproducibility, and compliance with data use agreements and IRB protocols.

... with data collection, analysis, and reporting. * Assist with drafting technical reports ... Knowledge of research regulatory compliance (FDA/IHC-GCP) and IRB processes. * Knowledge of ...

AP Research Tutor

Chandler, AZ · Remote

$18 - $40/hr

... analysis, academic writing conventions, and oral presentation techniques. Ability to explain ... IRB ethical requirements, and integrating multiple sources into a cohesive literature review.

AP Research Tutor

Tempe, AZ · Remote

$18 - $40/hr

... analysis, academic writing conventions, and oral presentation techniques. Ability to explain ... IRB ethical requirements, and integrating multiple sources into a cohesive literature review.

AP Research Tutor

Gilbert, AZ · Remote

$18 - $40/hr

... analysis, academic writing conventions, and oral presentation techniques. Ability to explain ... IRB ethical requirements, and integrating multiple sources into a cohesive literature review.

AP Research Tutor

Glendale, AZ · Remote

$18 - $40/hr

... analysis, academic writing conventions, and oral presentation techniques. Ability to explain ... IRB ethical requirements, and integrating multiple sources into a cohesive literature review.

AP Research Tutor

Phoenix, AZ · Remote

$18 - $40/hr

... analysis, academic writing conventions, and oral presentation techniques. Ability to explain ... IRB ethical requirements, and integrating multiple sources into a cohesive literature review.

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Showing results 1-20

Irb Analyst information

See Arizona salary details

$28.9K

$68.3K

$121.1K

How much do irb analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for irb analyst in Arizona is $68,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $81,100.00 per year, depending on experience, location, and employer.

What is an IRB analyst?

An IRB (Institutional Review Board) Analyst is responsible for reviewing research proposals to ensure they comply with ethical guidelines and regulatory requirements for human subjects' protection. They assess study protocols, verify informed consent procedures, and ensure adherence to federal and institutional policies. IRB Analysts collaborate with researchers to address compliance issues and provide guidance on ethical research practices. Their role is critical in safeguarding participants' rights and welfare while facilitating ethical research.

What are the key skills and qualifications needed to thrive as an IRB analyst?

To thrive as an IRB Analyst, you need a strong background in research ethics, regulatory compliance, and an understanding of human subjects research, often supported by a relevant bachelor's or master's degree. Familiarity with electronic protocol management systems, federal regulations (such as the Common Rule), and certifications like CIP (Certified IRB Professional) are highly valued. Strong attention to detail, analytical thinking, and effective communication skills set outstanding IRB Analysts apart. These qualities are crucial to ensure thorough, ethical review of research protocols and strict adherence to regulatory standards, protecting the rights and welfare of research participants.

What are some common challenges faced by IRB analysts in their daily work?

IRB Analysts frequently navigate complex regulatory requirements while reviewing a diverse range of research protocols, which can present challenges in interpreting guidelines and ensuring full compliance. They must balance efficiency with thoroughness, often working under tight deadlines to support both researchers and institutional standards. Staying current with evolving ethical standards and federal regulations is essential, as is effectively communicating decisions to investigators who may have varying levels of experience. Despite these challenges, the IRB Analyst role is rewarding for those who value ethical oversight and enjoy collaborative, detail-oriented work.

What do you need to be an IRB analyst?

To become an IRB analyst, candidates typically need a bachelor's degree in a related field such as healthcare, research, or ethics, along with experience in research compliance or regulatory environments. Knowledge of federal regulations like the Common Rule and Good Clinical Practice (GCP) is essential, and certifications such as the Certified IRB Professional (CIP) can enhance qualifications. Strong attention to detail, analytical skills, and the ability to review research protocols are also important for the role.

What does an IRB analyst do?

An IRB analyst reviews research protocols to ensure they comply with ethical standards and regulatory requirements set by Institutional Review Boards. They evaluate study procedures, consent forms, and risk assessments, often using specialized software, to protect research participants and maintain compliance. IRB analysts typically have a background in research ethics, healthcare, or related fields and work closely with researchers and regulatory bodies.

What are popular job titles related to Irb Analyst jobs in Arizona?

For Irb Analyst jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Irb Analyst jobs?

Cities in Arizona with the most Irb Analyst job openings:

Infographic showing various Irb Analyst job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $68,271 per year, or $32.8 per hour.

Scientific Analyst II

University of Arizona

Tucson, AZ • On-site

Full-time

Re-posted 5 days ago


University Of Arizona rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

363rd of 622 rated colleges and universities


Job description

Data Analysis and Machine Learning Pipeline Development:

  • Under moderate guidance collaborate in the design, develop, and execution of machine learning and AI-driven analytical pipelines to analyze large-scale biomedical datasets from UK Biobank, All of Us, Insight, and electronic medical records.
  • Apply supervised and unsupervised machine learning algorithms (e.g., logistic regression, random forests, deep learning) to identify risk factors, biomarkers, and patterns associated with neurodegenerative diseases and the effects of menopausal hormone therapy (MHT) on brain health.
  • Collaborate on the development and validation of predictive models integrating genomic, clinical, lifestyle, and imaging data using general knowledge of principals, theories and concepts.

Drug Repurposing Research and Bioinformatics Analysis:

  • Collaborating in computational drug repurposing analyses to identify existing FDA-approved compounds with potential efficacy for AD, PD, MS, and ALS prevention and treatment. Integrate multi-omics data (genomics, transcriptomics, proteomics) with clinical outcomes data to prioritize drug candidates.
  • Collaborate with wet lab and clinical teams to support translational interpretation of findings.

Epidemiological and Clinical Data Management and Harmonization:

  • Access, curate, harmonize, and manage large population-based datasets including UK Biobank, All of Us, and institutional EMR data.
  • Ensure data quality, reproducibility, and compliance with data use agreements and IRB protocols.
  • Collaborate in the develop and maintenance of reproducible data pipelines using Python, R, and high performance computer.
  • Perform statistical analyses including survival analysis, longitudinal modeling, and causal inference.

Scientific Communication, Dissemination, and Collaboration:

  • Compare and contribute to peer-reviewed manuscripts, conference presentations, and grant applications reporting research findings on MHT, menopause, and neurodegenerative disease.
  • Present results to interdisciplinary research teams, departmental seminars, and external stakeholders.
  • Collaborate closely with Dr. Francesca Vitali, co-investigators, and consortium partners. Maintain thorough documentation of analytical methods to ensure transparency and reproducibility.
  • Participate in lab meetings, journal clubs, and professional development activities.

Research Infrastructure and Continuous Improvement:

  • Maintain and improve lab computational infrastructure, including code repositories (GitHub), analytical workflows, and documentation standards.
  • Evaluate and adopt emerging AI/ML tools and methodologies relevant to brain science research.
  • Assist in training junior lab members or graduate students on data science methods and tools as needed.
  • Stay current with literature in neurodegenerative disease, computational.

Knowledge, Skills and Abilities:

  • Strong theoretical and applied knowledge of machine learning, deep learning, and statistical modeling.
  • Strong data wrangling and preprocessing skills for large, heterogeneous datasets.
  • Expert-level programming skills in Python and/or R; proficiency with ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost).
  • Knowledge of drug repurposing methodologies or network pharmacology.
  • Knowledge and familiarity with electronic medical records data analysis.
  • Knowledge and proficiency with SQL and database management.
  • Ability to collaborate effectively within interdisciplinary teams spanning data science, neuroscience, clinical research, and epidemiology.
  • Ability to manage multiple concurrent projects and meet deadlines.
  • Ability to critically evaluate scientific literature and translate findings into research hypotheses and analytical strategies.
  • Ability to communicate complex analytical results clearly to both technical and non-technical audiences.

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