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Remote Clinical Data Coding Jobs in Chicago, IL (NOW HIRING)

Huron Consulting Group

Inpatient Coding Auditor

Chicago, IL · On-site +1

$28 - $32/hr

Investing in new partnerships, clinical services and technology is not enough to create meaningful ... Experience working with data from various sources preferred * Familiarity with revenue cycle ...

Caresyntax

Key Account Director

Chicago, IL · Remote

Key Account Director Remote US / Chicago-base preferred About Caresyntax Caresyntax is a global leader in surgical and clinical data solutions. Our new business unit, Clinical Data as a Service ...

Caresyntax

Key Account Director

Chicago, IL · On-site +1

Key Account Director Remote US / Chicago-base preferred About Caresyntax Caresyntax is a global leader in surgical and clinical data solutions. Our new business unit, Clinical Data as a Service ...

Zing Health Holdings, Inc.

Director, Coding

Chicago, IL · Remote

... clinical information from the medical record. You will also set coding guidelines and maintain highest coding data quality and integrity. You will work to set up a coding team as the team expands to ...

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All JobsClinical Data Coding JobsRemote Clinical Data Coding JobsRemote Clinical Data Coding Jobs in Chicago, IL

Remote Clinical Data Coding information

See Chicago, IL salary details

$20

$58

$84

How much do remote clinical data coding jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote clinical data coding in Chicago, IL is $58.89, according to ZipRecruiter salary data. Most workers in this role earn between $46.54 and $70.10 per hour, depending on experience, location, and employer.

What is the difference between Remote Clinical Data Coding vs Remote Medical Billing and Coding?

AspectRemote Clinical Data CodingRemote Medical Billing and Coding
CredentialsCertification in Clinical Data Coding (e.g., CCS, CPC)Certification in Medical Billing and Coding (e.g., CPC, CBCS)
Work EnvironmentHealthcare facilities, research organizations, insurance companiesHospitals, clinics, insurance companies
Industry UsageClinical research, healthcare data managementPatient billing, insurance claims processing
Search IntentFocus on clinical data, research codingFocus on billing, claims, reimbursement

Remote Clinical Data Coding involves translating clinical research data into standardized codes for analysis, often requiring specific certifications. Remote Medical Billing and Coding focuses on processing insurance claims and patient billing. While both roles involve coding and certifications, they serve different functions within healthcare and are used in different settings.

What are the most commonly searched types of Clinical Data Coding jobs in Chicago, IL? The most popular types of Clinical Data Coding jobs in Chicago, IL are:
What are popular job titles related to Remote Clinical Data Coding jobs in Chicago, IL? For Remote Clinical Data Coding jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Coding jobs in Chicago, IL look for? The top searched job categories for Remote Clinical Data Coding jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Clinical Data Coding jobs? Cities near Chicago, IL with the most Remote Clinical Data Coding job openings:
Remote Clinical Data Coding jobs near you
Infographic showing various Remote Clinical Data Coding job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $122,493 per year, or $58.9 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Joliet, IL • Remote

$80 - $110/hr

Part-time

Posted 9 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.

Apply