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Entry Level Remote Clinical Data Abstractor Jobs in Colorado

micro1 AI

Cheminformatics Specialist - Remote

Arvada, CO · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Cheminformatics Specialist - Remote

Denver, CO · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Entry Level Remote Clinical Data Abstractor information

What is the difference between Entry Level Remote Clinical Data Abstractor vs Entry Level Remote Clinical Data Coordinator?

AspectEntry Level Remote Clinical Data AbstractorEntry Level Remote Clinical Data Coordinator
CredentialsHigh school diploma or equivalent; some roles may prefer a degree in health information or related fieldHigh school diploma or equivalent; often prefers a degree in health information, healthcare administration, or related field
Work EnvironmentRemote, focused on reviewing and extracting data from medical recordsRemote, overseeing data collection, entry, and quality assurance processes
Employer & Industry UsageHospitals, research organizations, clinical trial companiesHospitals, clinical research organizations, healthcare providers

The Entry Level Remote Clinical Data Abstractor primarily reviews and extracts data from medical records, focusing on accuracy and detail. In contrast, the Entry Level Remote Clinical Data Coordinator manages data collection processes, ensuring data quality and coordinating between teams. Both roles require similar certifications and work environments but differ in responsibilities and scope.

How do I become a certified data abstractor?

To become a certified clinical data abstractor, individuals typically complete relevant training programs that cover medical terminology, data collection, and abstraction techniques. Certification is often obtained through industry organizations such as the American Health Information Management Association (AHIMA) or the Association for Clinical Data Management (ACDM), which may require passing an exam and maintaining ongoing education. Having proficiency in electronic health records (EHR) systems and attention to detail is also important for success in this role.

How to become an entry level remote clinical data abstractor with no experience?

To become an entry-level remote clinical data abstractor, candidates typically need a high school diploma or equivalent and strong attention to detail. Gaining familiarity with electronic health records (EHR) systems and basic knowledge of medical terminology can improve job prospects; some employers offer on-the-job training for those without prior experience.

What skills do you need to be an entry level remote clinical data abstractor?

An entry level remote clinical data abstractor needs strong attention to detail, good organizational skills, and the ability to review and interpret medical records accurately. Familiarity with electronic data capture systems, basic knowledge of medical terminology, and the ability to work independently are also important for success in this role.

What are the most commonly searched types of Remote Clinical Data Abstractor jobs in Colorado?

The most popular types of Remote Clinical Data Abstractor jobs in Colorado are:

What are popular job titles related to Entry Level Remote Clinical Data Abstractor jobs in Colorado?

For Entry Level Remote Clinical Data Abstractor jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Clinical Data Abstractor jobs in Colorado look for?

The top searched job categories for Entry Level Remote Clinical Data Abstractor jobs in Colorado are:

Entry Level Remote Clinical Data Abstractor jobs near you
Infographic showing various Entry Level Remote Clinical Data Abstractor job openings in Colorado as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Boulder, CO • Remote

$90 - $120/hr

Part-time

Posted 22 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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