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Clinical Trial Risk Based Monitoring Jobs in Arizona

YO AI Labs

Oncology Expert - Remote

Phoenix, AZ · Remote

$150 - $200/hr

Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible ... monitor, safety physician, or clinical development physician. * Experience reviewing clinical trial ...

YO AI Labs

Hematology Expert - Remote

Phoenix, AZ · Remote

$150 - $200/hr

Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible ... monitor, safety physician, or clinical development physician. * Experience reviewing clinical trial ...

IQVIA

Senior Global Clinical Study Manager

Gilbert, AZ · On-site

... trial site management activities across global studies. This role ensures successful site selection ... Ensure clinical monitoring processes meet study needs and timelines * Partner with CRAs to optimize ...

IQVIA

Senior Global Clinical Study Manager

Phoenix, AZ · On-site

... trial site management activities across global studies. This role ensures successful site selection ... Ensure clinical monitoring processes meet study needs and timelines * Partner with CRAs to optimize ...

IQVIA

Senior Global Clinical Study Manager

Gilbert, AZ · On-site

... trial site management activities across global studies. This role ensures successful site selection ... Ensure clinical monitoring processes meet study needs and timelines * Partner with CRAs to optimize ...

IQVIA

Senior Global Clinical Study Manager

Phoenix, AZ · On-site

... trial site management activities across global studies. This role ensures successful site selection ... Ensure clinical monitoring processes meet study needs and timelines * Partner with CRAs to optimize ...

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Clinical Trial Risk Based Monitoring information

What is clinical trial risk based monitoring?

Clinical Trial Risk Based Monitoring (RBM) is a strategy used in clinical research to prioritize and focus monitoring activities on the most critical risks to patient safety and data integrity. Instead of monitoring every data point equally, RBM uses data analytics and risk assessment tools to identify which sites, processes, or data require more attention. This approach increases efficiency, reduces costs, and helps ensure that potential issues are detected and addressed promptly. RBM is supported by regulatory agencies and is increasingly adopted in both large and small clinical trials.

How does a clinical trial risk based monitoring professional typically collaborate with cross-functional teams during a study?

In a Clinical Trial Risk Based Monitoring role, you will regularly work with clinical research associates, data managers, statisticians, and regulatory teams to identify and address potential risks throughout a study. Collaboration often involves participating in meetings to review data trends, sharing insights about site performance, and helping to develop mitigation strategies. Effective communication is crucial, as you will be responsible for ensuring that all stakeholders are informed of key risks and recommended actions. This collaborative environment helps drive patient safety, data integrity, and overall trial success.

What are the key skills and qualifications needed to thrive in clinical trial risk based monitoring, and why are they important?

To thrive in Clinical Trial Risk Based Monitoring, you need expertise in clinical research, regulatory compliance, and data analysis, usually supported by a degree in life sciences or related fields. Familiarity with risk assessment tools, EDC (Electronic Data Capture) systems, and GCP (Good Clinical Practice) certification is typically required. Strong attention to detail, critical thinking, and effective communication help professionals proactively identify and address potential risks in trials. These skills are crucial for maintaining data integrity, ensuring patient safety, and optimizing the efficiency and quality of clinical studies.

What is the difference between Clinical Trial Risk Based Monitoring vs Clinical Trial Data Manager?

AspectClinical Trial Risk Based MonitoringClinical Trial Data Manager
Primary FocusMonitoring trial sites for risks and complianceManaging and ensuring accuracy of trial data
Required SkillsMonitoring protocols, regulatory knowledge, site managementData management, database systems, quality control
Work EnvironmentClinical sites, monitoring visits, remote oversightData centers, clinical trial databases, office setting
CertificationsGCP, monitoring certificationsCDMP, data management certifications

While both roles are integral to clinical trials, Risk Based Monitoring focuses on overseeing site performance and compliance to mitigate risks, whereas Data Managers concentrate on managing and validating trial data for accuracy and integrity.

What are popular job titles related to Clinical Trial Risk Based Monitoring jobs in Arizona?

For Clinical Trial Risk Based Monitoring jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Clinical Trial Risk Based Monitoring jobs in Arizona look for?

The top searched job categories for Clinical Trial Risk Based Monitoring jobs in Arizona are:

What cities in Arizona are hiring for Clinical Trial Risk Based Monitoring jobs?

Cities in Arizona with the most Clinical Trial Risk Based Monitoring job openings:

Clinical Trial Risk Based Monitoring jobs near you
Infographic showing various Clinical Trial Risk Based Monitoring job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, 2% Temporary, and 6% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Oncology Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$150 - $200/hr

Full-time

Posted 7 days ago

Job description

Job Title: Oncology Expert Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Clinicians specializing in Oncology and Hematology to contribute their medical expertise to an innovative healthcare AI project. In this role, you will help improve next-generation AI systems by evaluating clinical content, reviewing trial data, and providing expert medical judgment. No prior AI experience is required—your clinical expertise and domain knowledge are what matter most.

Key Responsibilities

  • Author and review clinical evaluation tasks requiring advanced oncology and hematology expertise.

  • Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess medical accuracy.

  • Evaluate the clinical relevance of efficacy and safety conclusions, including endpoints and treatment outcomes.

  • Assess dose escalation strategies, dose-limiting toxicities, adverse event grading, attribution, and patient safety narratives.

  • Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible interpretations.

  • Provide structured, guideline-based written explanations of clinical reasoning and findings.

  • Support AI model training by delivering high-quality clinical evaluations and expert feedback.

Required Skills

  • Clinical Oncology

  • Clinical Hematology

  • Clinical Trial Evaluation

  • CTCAE Grading

  • RECIST

  • Lugano Criteria

  • IMWG Criteria

  • IWCLL Criteria

  • ELN Criteria

  • Outcome Endpoint Analysis (ORR, DoR, PFS, OS, MRD)

  • Dose Escalation Assessment

  • Adverse Event Grading & Attribution

Preferred Qualifications

  • Board certification or specialist registration in Medical Oncology and/or Hematology.

  • 5+ years of post-training clinical experience.

  • Direct experience with clinical trials as an investigator, sub-investigator, medical monitor, safety physician, or clinical development physician.

  • Experience reviewing clinical trial documents, including protocols, investigator brochures, clinical study reports, safety narratives, and DSMB/IDMC materials.

  • Strong understanding of oncology and hematology response criteria and clinical endpoints.

  • Excellent written communication skills with the ability to explain complex clinical concepts clearly.

  • Experience in medical monitoring, medical director roles, adjudication committees, or independent review committees is preferred.

  • Peer-reviewed publications or authorship of clinical trial manuscripts is a plus.

  • Experience with AI-assisted clinical review tools is an advantage.