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Remote Clinical Data Entry Jobs in Virginia (NOW HIRING)

Maximus

Data Scientist (Remote)

VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... clinicians, and other cross-functional partners to translate findings into actionable ...

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

Remote Clinical Data Entry information

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$86

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

As of Aug 17, 2026, the average hourly pay for remote clinical data entry in Virginia is $38.62, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $38.61 per hour, depending on experience, location, and employer.

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.

Are any remote clinical data entry jobs legit?

Remote clinical data entry jobs are legitimate positions that involve inputting and managing clinical trial data from home, often requiring attention to detail and familiarity with data management software. However, job seekers should verify the employer's credibility and be cautious of scams that request upfront payments or personal information. Conducting research on the company and reading reviews can help ensure the job's legitimacy.

What is clinical data entry?

Clinical data entry involves inputting and managing patient information, research data, or medical records into electronic databases or systems. It requires attention to detail, accuracy, and familiarity with healthcare terminology and data management tools. This role supports clinical trials, healthcare providers, and research organizations in maintaining precise and organized medical data.

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

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

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

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

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

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

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

Cities in Virginia 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 Virginia as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,325 per year, or $38.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Richmond, VA • Remote

$80 - $110/hr

Part-time

Posted 16 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.

Apply