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Remote Coder Jobs in Longmont, CO (NOW HIRING)

VDURA

Sr. Storage Software Developer

Niwot, CO · On-site +1

$54 - $71.25/hr

Experience developing Linux or BSD kernel-level code is a plus. Location: We strongly prefer candidates in Pittsburgh, PA or Denver, CO . However, we are open to remote candidates who meet the ...

VDURA

Sr. Storage Software Developer

Longmont, CO · On-site +1

$54 - $71.25/hr

Experience developing Linux or BSD kernel-level code is a plus. Location: We strongly prefer candidates in Pittsburgh, PA or Denver, CO . However, we are open to remote candidates who meet the ...

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Showing results 21-40

All JobsCoder JobsRemote Coder JobsRemote Coder Jobs in Longmont, CO

Remote Coder information

See Longmont, CO salary details

$15

$27

$43

How much do remote coder jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote coder in Longmont, CO is $27.18, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $34.23 per hour, depending on experience, location, and employer.

What is a remote coder?

A Remote Coder is a professional who writes and maintains computer code for software applications while working from a location outside of a traditional office, often from home or any place with internet connectivity. Remote Coders collaborate with teams using online tools and are responsible for tasks such as debugging, code reviews, and implementing features. This role offers flexibility and may require strong communication skills and self-motivation to meet project deadlines. Remote Coders can work in various industries, including technology, healthcare, and finance.

What does a remote coder do?

Remote medical coders handle patient information to ensure their medical services are billed properly to their insurance company. This administrative position is sometimes referred to as medical records technicians or health information technicians. Unlike coders who work in the office, remote medical coders work from home or another location outside of the office. Remote medical coders collect, research, and file patient medical information. As a remote medical coder, your primary responsibilities include making sure that all the data in a patient’s record is accurate and up-to-date, organizing patient data within multiple databases, and using medical codes to determine reimbursement for insurance billing purposes.

What are the key skills and qualifications needed to thrive as a remote coder, and why are they important?

To thrive as a Remote Coder, you need in-depth knowledge of medical coding systems, anatomy, and healthcare regulations, typically supported by a certification such as CPC, CCS, or CCA. Familiarity with electronic health records (EHR) software, coding tools like ICD-10-CM/PCS, CPT, and online coding platforms is essential. Strong attention to detail, time management, and self-motivation are critical soft skills for accuracy and productivity in a remote setting. These skills ensure precise coding, compliance with healthcare standards, and reliable performance while working independently.

What are some common challenges faced by remote coders and how can they be effectively managed?

Remote coders often encounter challenges such as maintaining clear communication with team members across time zones, managing distractions in a home environment, and staying motivated without in-person supervision. To address these, it's important to utilize collaboration tools (like Slack or Zoom), set up a dedicated workspace, and establish a structured daily routine. Regular check-ins with your team and proactive communication can also help ensure alignment on project goals and deadlines.

What is the difference between Remote Coder vs Medical Biller?

AspectRemote CoderMedical Biller
Required CredentialsCertification in medical coding (e.g., CPC)Certification in medical billing or coding (e.g., CPC, CPC-A)
Work EnvironmentRemote or in healthcare facilitiesRemote or in healthcare offices
Industry UsageHealthcare, insurance companies, hospitalsHealthcare providers, billing companies, hospitals
Job FocusAssigning codes for diagnoses and proceduresProcessing insurance claims and payments

Remote Coders primarily focus on reviewing medical records and assigning appropriate codes for billing and documentation, while Medical Billers handle submitting claims and following up on payments. Both roles often require similar certifications and can be performed remotely, but their core responsibilities differ within the healthcare revenue cycle.

Can you work remotely as a remote coder?

Remote coders can work from anywhere with a reliable internet connection, as many coding jobs are fully remote. These roles often require proficiency in programming languages, collaboration tools, and sometimes specific certifications, but location is generally flexible. Employers may have different policies, so it's important to confirm remote work options for each position.

How much do remote coders make from home?

Remote coders typically earn between $40,000 and $80,000 annually, depending on experience, certifications, and specialization. Skilled coders with certifications like CPC or CCS and proficiency in coding software can earn higher salaries, especially with several years of experience working independently or for healthcare organizations.
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Remote Coder jobs near you
Infographic showing various Remote Coder job openings in Longmont, CO as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 4% In-person, and 96% Remote job distribution, with an average salary of $56,527 per year, or $27.2 per hour.

Bioinformatics Software Engineer

micro1 AI

Greeley, CO • Remote

$80 - $110/hr

Part-time

Posted 18 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.

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