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Virtual Research Jobs in Kentucky (NOW HIRING)

Pfizer

$177 - $294/hr

... and virtual presentations in small or large settings, written communication, and telephone or ... Research (ISR) process · Cultivate research and malignant hematology expertise, including ...

New

National Science Teachers Association

$151 - $237/hr

Clinical, research, and/or teaching experience * Ability to work effectively in virtual and cross-functional teams * Execution of activities within legal, regulatory, and compliance requirements

New

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Virtual Research information

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$5

$28

$68

How much do virtual research jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for virtual research in Kentucky is $28.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $26.63 per hour, depending on experience, location, and employer.

What is the difference between Virtual Research vs Virtual Data Entry?

AspectVirtual ResearchVirtual Data Entry
Required CredentialsTypically requires research skills, familiarity with online sources, and sometimes a degree in a related fieldFocuses on accuracy and speed in inputting data; often requires basic computer skills and attention to detail
Work EnvironmentRemote, often involves online research platforms, databases, and information gatheringRemote, involves using data management software, spreadsheets, and databases
Employer & Industry UsageUsed across research firms, marketing agencies, academic support, and consultingCommon in administrative support, e-commerce, healthcare, and business services

Virtual Research involves gathering and analyzing information online, requiring research skills and critical thinking. Virtual Data Entry focuses on accurately inputting data into systems, emphasizing speed and precision. Both roles are remote and essential in various industries, but they differ in skill sets and daily tasks.

How do I become a virtual researcher?

To become a virtual researcher, you typically need strong research skills, proficiency with online research tools, and good communication abilities. Relevant education may include a degree in a related field, and experience with data analysis or information gathering can be beneficial. Many virtual research roles also require self-motivation and the ability to work independently within flexible schedules.

What are the most commonly searched types of Research jobs in Kentucky?

The most popular types of Research jobs in Kentucky are:

What are popular job titles related to Virtual Research jobs in Kentucky?

For Virtual Research jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Virtual Research jobs in Kentucky look for?

The top searched job categories for Virtual Research jobs in Kentucky are:

What cities in Kentucky are hiring for Virtual Research jobs?

Cities in Kentucky with the most Virtual Research job openings:

Virtual Research jobs near you
Infographic showing various Virtual Research job openings in Kentucky as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $59,056 per year, or $28.4 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Louisville, KY • Remote

$80 - $110/hr

Part-time

Posted 13 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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