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Remote Virtual Data Entry Jobs in Boise, ID (NOW HIRING)

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

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

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

District Parts & Service Manager (Level DOE)

Boise, ID · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position, also referred to as virtual or work from home. Job Information The ... Proficient in using performance data to promote accountability and implement positive changes ...

Paid Social Strategist (Remote US)

Boise, ID · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... We primarily collaborate with our colleagues through virtual meetings (Zoom), and Slack. In this ...

Paid Social Manager (Remote US)

Boise, ID · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... We primarily collaborate with our colleagues through virtual meetings (Zoom), and Slack. In this ...

Showing results 21-40

Remote Virtual Data Entry information

See Boise, ID salary details

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How much do remote virtual data entry jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote virtual data entry in Boise, ID is $18.53, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.82 per hour, depending on experience, location, and employer.

What is the difference between Remote Virtual Data Entry vs Remote Data Processing?

AspectRemote Virtual Data EntryRemote Data Processing
CredentialsBasic computer skills, data entry experienceData processing may require additional technical skills or software knowledge
Work EnvironmentHome-based, computer-focused tasksHome or office, involves handling and analyzing data
Industry UsageCommon in administrative, healthcare, and research sectorsUsed across finance, tech, and data-driven industries
Search & Comparison IntentFocuses on simple data entry tasksInvolves more complex data handling and processing

Remote Virtual Data Entry primarily involves inputting data into systems with minimal technical skills, while Remote Data Processing includes analyzing and managing data, often requiring additional software knowledge. Both roles are remote, but they differ in complexity and scope.

What are the most commonly searched types of Virtual Data Entry jobs in Boise, ID?

The most popular types of Virtual Data Entry jobs in Boise, ID are:

What job categories do people searching Remote Virtual Data Entry jobs in Boise, ID look for?

The top searched job categories for Remote Virtual Data Entry jobs in Boise, ID are:

What cities near Boise, ID are hiring for Remote Virtual Data Entry jobs?

Cities near Boise, ID with the most Remote Virtual Data Entry job openings:

Infographic showing various Remote Virtual Data Entry job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $38,550 per year, or $18.5 per hour.

Bioinformatics Software Engineer

micro1 AI

Boise, ID • Remote

$80 - $110/hr

Part-time

Posted 14 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.