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Remote Clinical Data Coding Jobs in Florida (NOW HIRING)

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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.

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Remote Clinical Data Coding jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Boca Raton, FL • Remote

$90 - $120/hr

Part-time

Posted 9 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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