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Remote Clinical Data Coding Jobs in Missouri (NOW HIRING)

Build interactive applications and data tools using R/Shiny to help researchers and clinical teams ... Fully remote work opportunity across Europe, Poland, or LATAM with flexible working hours.

Remote - Inpatient Coder II

Saint Joseph, MO · On-site +1

$21 - $25.25/hr

Coordinates/Communicates with departments including clinical departments, Quality Improvement, Care Management, Patient Financial Services to ensure accuracy and timeliness of coding. * Ensures data ...

Showing results 41-60

Remote Clinical Data Coding information

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 job categories do people searching Remote Clinical Data Coding jobs in Missouri look for?

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

What cities in Missouri are hiring for Remote Clinical Data Coding jobs?

Cities in Missouri with the most Remote Clinical Data Coding job openings:

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Lees Summit, MO • 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.