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Remote Clinical Data Entry Jobs in Colorado (NOW HIRING)

Option Care

Practice Liaison, Chronic Therapies

Denver, CO · Remote

$67K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to work with Microsoft Windows-based programs, and acceptable data entry skills required ... Primarily remote with virtual engagement Preferred Qualifications & Interests (PQIs) * Bachelor ...

Sycle LLC

Product Manager - Clinic Analytics & Reporting

Denver, CO · On-site +1

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are headquartered in Lone Tree, Colorado with a large remote workforce across the US and Canada ... Translate complex transactional and clinical data into intuitive, executive-ready dashboards.

Sycle LLC

Product Manager - Clinic Analytics & Reporting

Denver, CO · On-site +1

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are headquartered in Lone Tree, Colorado with a large remote workforce across the US and Canada ... Translate complex transactional and clinical data into intuitive, executive-ready dashboards.

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All JobsClinical Data Entry JobsRemote Clinical Data Entry JobsRemote Clinical Data Entry Jobs in Colorado

Remote Clinical Data Entry information

What is a remote clinical data entry?

A Remote Clinical Data Entry job involves inputting, managing, and updating clinical data in digital systems from a remote location. Professionals in this role ensure accuracy, confidentiality, and compliance with healthcare regulations. They may work with clinical trial data, patient records, or other medical information. Strong attention to detail, familiarity with medical terminology, and proficiency in data entry software are essential for success in this field.

What are the key skills and qualifications needed for remote clinical data entry?

To excel in Remote Clinical Data Entry, you need strong attention to detail, fast and accurate typing skills, and a familiarity with medical terminology, often supported by a diploma or coursework in health sciences or medical administration. Knowledge of clinical data management systems (such as EDC platforms), electronic health records (EHRs), and basic proficiency with spreadsheet software like Excel is typically required, and certification in data entry or health information management can be advantageous. Exceptional organizational skills, reliability, and the ability to work independently while maintaining clear communication with remote teams are standout soft skills for this role. These abilities ensure accurate, timely data handling, facilitate compliance with healthcare regulations, and contribute to the integrity of patient records and research data.

What does a typical workday look like for remote clinical data entry?

A typical workday in a remote clinical data entry position involves reviewing clinical documents and inputting critical data into electronic databases or health record systems. You will regularly communicate with healthcare professionals, study coordinators, or data managers to clarify details and ensure data accuracy. Most days require a balance between independent data entry tasks and virtual team meetings or status updates, all within strict privacy and compliance guidelines. The remote environment offers flexibility, but it also requires excellent self-management to meet deadlines and maintain high accuracy standards. Over time, this experience can open doors to roles in clinical data management, trial coordination, or health information analysis.

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

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

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

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

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

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

What cities in Colorado are hiring for Remote Clinical Data Entry jobs?

Cities in Colorado with the most Remote Clinical Data Entry job openings:

Remote Clinical Data Entry jobs near you
Infographic showing various Remote Clinical Data Entry job openings in Colorado as of August 2026, with employment types broken down into 79% Full Time, 15% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Aurora, 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.

Apply