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Remote Clinical Validation Jobs in Raleigh, NC (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Raleigh, NC · Remote

$80 - $110/hr

Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Cheminformatics Specialist - Remote

Cary, NC · Remote

$80 - $110/hr

Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Icon plc

Senior Project Manager, COA

Raleigh, NC · Remote

... ICON- US Remote (East Coast) ICON is a global healthcare intelligence and clinical research ... Support the validation and implementation of automation, artificial intelligence, and other ...

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All JobsClinical Validation JobsRemote Clinical Validation JobsRemote Clinical Validation Jobs in Raleigh, NC

Remote Clinical Validation information

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How much do remote clinical validation jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote clinical validation in Raleigh, NC is $50.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.32 and $61.44 per hour, depending on experience, location, and employer.

What is remote clinical validation?

Remote clinical validation is the process of reviewing and confirming the accuracy of clinical documentation, coding, and diagnoses from a remote location. Professionals in this role typically work off-site to ensure that patient records meet regulatory standards and support appropriate billing and quality care. They collaborate with healthcare providers, often leveraging secure technology, to clarify documentation and provide feedback. This role is essential in maintaining data integrity, supporting compliance, and optimizing reimbursement for healthcare organizations.

What is the difference between Remote Clinical Validation vs Remote Clinical Data Analyst?

AspectRemote Clinical ValidationRemote Clinical Data Analyst
Required CredentialsClinical certifications, healthcare backgroundData analysis certifications, statistical skills
Work EnvironmentHealthcare settings, research organizationsResearch firms, healthcare companies, biotech
Employer & Industry UsagePharmaceuticals, clinical researchHealthcare, biotech, research institutions
Common Search & ComparisonYesNo

Remote Clinical Validation focuses on verifying clinical data accuracy and compliance, requiring healthcare and clinical certifications. Remote Clinical Data Analysts analyze datasets to derive insights, often with strong statistical skills. While both roles support clinical research, they differ in credentials and daily tasks, making them distinct career paths within the healthcare industry.

What are the key skills and qualifications needed to thrive as a remote clinical validation specialist?

To thrive as a Remote Clinical Validation Specialist, you need a solid background in clinical coding, healthcare regulations, and medical terminology, often supported by an RHIA, RHIT, or CCS credential. Familiarity with electronic health record (EHR) systems, clinical documentation improvement (CDI) software, and coding tools is essential. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies ensure the accuracy of clinical data, regulatory compliance, and optimal reimbursement for healthcare organizations.

What are some common challenges faced by professionals in remote clinical validation roles, and how can they be addressed?

Remote clinical validation professionals often encounter challenges such as limited direct access to healthcare teams, navigating electronic health records from afar, and maintaining compliance with changing regulations. Effective communication and strong organizational skills are essential to collaborate remotely with physicians, coders, and other healthcare staff. Utilizing secure collaboration tools, staying updated on coding guidelines, and participating in regular training sessions can help overcome these obstacles and ensure the accuracy and integrity of clinical data.
What are popular job titles related to Remote Clinical Validation jobs in Raleigh, NC? For Remote Clinical Validation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Validation jobs in Raleigh, NC look for? The top searched job categories for Remote Clinical Validation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Clinical Validation jobs? Cities near Raleigh, NC with the most Remote Clinical Validation job openings:
Remote Clinical Validation jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Raleigh, NC • Remote

$80 - $110/hr

Part-time

Posted 11 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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