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Clinical Data Coding Jobs in Arizona (NOW HIRING)

YO AI Labs

Medical Coder - Remote

Phoenix, AZ · Remote

$50 - $80/hr

... AI training data quality. Required Skills * Medical Coding * ICD-10 * CPT * CPC Certification * Evaluation & Management (E&M) * Clinical Documentation Review * Coding Accuracy & Compliance

micro1 AI

Bioinformatics Software Engineer

Mesa, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Cheminformatics Specialist - Remote

Glendale, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Bioinformatics Software Engineer

Gilbert, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Bioinformatics Software Engineer

Peoria, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Cheminformatics Specialist - Remote

Peoria, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Bioinformatics Software Engineer

Tempe, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Bioinformatics Software Engineer

Scottsdale, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Bioinformatics Software Engineer

Glendale, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Bioinformatics Software Engineer

Surprise, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Cheminformatics Specialist - Remote

Gilbert, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

micro1 AI

Bioinformatics Software Engineer

Chandler, AZ · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

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Clinical Data Coding information

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$53

$76

How much do clinical data coding jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for clinical data coding in Arizona is $53.27, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $63.41 per hour, depending on experience, location, and employer.

What is clinical data coding?

A Clinical Data Coding job involves assigning standardized medical codes to clinical data, such as diagnoses, procedures, and treatments, to ensure accurate documentation and facilitate healthcare analytics, billing, and research. Professionals in this role use coding systems like ICD, CPT, and SNOMED CT to classify medical information. They work with electronic health records (EHRs) and collaborate with healthcare providers, data analysts, and regulatory bodies. Accuracy and attention to detail are crucial, as coded data impacts patient care, compliance, and reimbursement.

What does a typical day look like for someone working in clinical data coding?

A typical day in Clinical Data Coding involves reviewing clinical trial data, assigning accurate codes to medical terms, adverse events, and procedures using standard classification systems, and ensuring compliance with regulatory standards. You’ll collaborate closely with clinical data managers, medical reviewers, and biostatisticians to resolve discrepancies and maintain data integrity. Additionally, you may attend team meetings to discuss coding conventions or project updates and perform quality checks on coded data. This role offers a structured environment where attention to detail and accuracy are highly valued, supporting the success of clinical research projects.

What are the key skills and qualifications needed to thrive in clinical data coding, and why are they important?

To thrive in Clinical Data Coding, strong knowledge of medical terminology, clinical research processes, and disease classification systems (such as ICD-10 or MedDRA) is generally required, often supported by a degree in life sciences or related fields. Familiarity with electronic data capture systems, clinical trial databases, and specialized coding software is essential, along with certifications like Certified Clinical Data Manager (CCDM) or Certified Clinical Research Professional (CCRP) being advantageous. Attention to detail, analytical thinking, and effective communication enhance quality and teamwork in this role. These skills and qualities ensure precise and compliant data coding, which is critical for research integrity, regulatory submissions, and high-quality clinical outcomes.

What does a clinical data coder do?

A clinical data coder reviews medical records and assigns standardized codes to diagnoses, procedures, and treatments using coding systems like ICD and CPT. This process ensures accurate billing, data analysis, and compliance with healthcare regulations, often requiring attention to detail and familiarity with coding software. Certification such as CPC is commonly preferred in this role.

What are the most commonly searched types of Clinical Data Coding jobs in Arizona?

The most popular types of Clinical Data Coding jobs in Arizona are:

What are popular job titles related to Clinical Data Coding jobs in Arizona?

For Clinical Data Coding jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Clinical Data Coding jobs in Arizona look for?

The top searched job categories for Clinical Data Coding jobs in Arizona are:

Clinical Data Coding jobs near you
Infographic showing various Clinical Data Coding job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $110,810 per year, or $53.3 per hour.

AI Training Specialist - Cheminformatics

Tempe, AZ • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Re-posted 12 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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