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Live In Remote Interventional Radiology Coding Jobs in McAllen, TX

micro1 AI

Cheminformatics Specialist - Remote

Mcallen, TX · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

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All JobsLive In Interventional Radiology Coding JobsLive In Remote Interventional Radiology Coding JobsLive In Remote Interventional Radiology Coding Jobs in McAllen, TX

Live In Remote Interventional Radiology Coding information

See McAllen, TX salary details

$100.7K

$330.1K

$380K

How much do live in remote interventional radiology coding jobs pay per year?

As of Aug 22, 2026, the average yearly pay for live in remote interventional radiology coding in McAllen, TX is $330,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $299,300.00 and $380,000.00 per year, depending on experience, location, and employer.

What is the difference between Live In Remote Interventional Radiology Coding vs Remote Interventional Radiology Coding?

AspectLive In Remote Interventional Radiology CodingRemote Interventional Radiology Coding
Work EnvironmentTypically involves working from a dedicated location, often with some on-site presence or supervisionPrimarily work from home or remote locations without on-site requirements
CredentialsRequires coding certifications (e.g., CPC, CCS) and knowledge of interventional radiology proceduresSame certifications and credentials as live-in roles, with emphasis on remote access skills
Employer & Industry UsageUsed by hospitals or clinics that prefer on-site or hybrid work modelsCommon among remote healthcare coding companies and independent contractors

Both roles require similar certifications and knowledge of interventional radiology coding. The main difference lies in the work environment, with live-in roles involving some on-site presence, while remote roles are fully remote. Your choice depends on your preference for on-site work versus working from home.

What are the most commonly searched types of Remote Interventional Radiology Coding jobs in McAllen, TX?

The most popular types of Remote Interventional Radiology Coding jobs in McAllen, TX are:

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For Live In Remote Interventional Radiology Coding jobs in McAllen, TX, the most frequently searched job titles are:

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The top searched job categories for Live In Remote Interventional Radiology Coding jobs in McAllen, TX are:

What cities near McAllen, TX are hiring for Live In Remote Interventional Radiology Coding jobs?

Cities near McAllen, TX with the most Live In Remote Interventional Radiology Coding job openings:

Live In Remote Interventional Radiology Coding jobs near you
Infographic showing various Live In Remote Interventional Radiology Coding job openings in McAllen, TX as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $330,115 per year, or $158.7 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Mcallen, TX • Remote

$80 - $110/hr

Part-time

Posted 22 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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