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Internship Remote Ediscovery Jobs in Virginia (NOW HIRING)

Business Intern (Remote)

Stafford, VA · On-site +1

$15.75 - $19.75/hr

Internship Duration: 90 days Position Description: Oxley Enterprises, Inc.'s (Oxley) intern program ... Above average knowledge of Microsoft Office applications (e.g., Outlook, SharePoint, Word, Excel ...

Business Intern (Remote)

Stafford, VA · Remote

$15.75 - $19.75/hr

Internship Duration: 90 days Position Description: Oxley Enterprises, Inc.'s (Oxley) intern program ... Above average knowledge of Microsoft Office applications (e.g., Outlook, SharePoint, Word, Excel ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms. * Evaluate compound ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms. * Evaluate compound ...

Showing results 41-60

Internship Remote Ediscovery information

What is the difference between Internship Remote Ediscovery vs Ediscovery Analyst?

AspectInternship Remote EdiscoveryEdiscovery Analyst
CredentialsTypically pursuing or recent graduate, minimal certificationsRelevant certifications like ACEDS or CCEDS preferred
Work EnvironmentRemote, internship setting, supervised learningRemote or on-site, full-time professional role
ResponsibilitiesAssisting with data collection, basic review tasksManaging e-discovery projects, complex data analysis
Industry UsageEntry-level, training-focused positionSpecialized, ongoing professional role in legal tech

In summary, Internship Remote Ediscovery is an entry-level, supervised position ideal for gaining initial experience, while an Ediscovery Analyst is a full-time professional role requiring more expertise and certifications. The internship offers a stepping stone into the e-discovery industry, whereas the analyst role involves independent project management and advanced tasks.

What are popular job titles related to Internship Remote Ediscovery jobs in Virginia?

For Internship Remote Ediscovery jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Remote Ediscovery jobs in Virginia look for?

The top searched job categories for Internship Remote Ediscovery jobs in Virginia are:

What cities in Virginia are hiring for Internship Remote Ediscovery jobs?

Cities in Virginia with the most Internship Remote Ediscovery job openings:

Infographic showing various Internship Remote Ediscovery job openings in Virginia as of August 2026, with employment types broken down into 16% Internship, 34% Full Time, 18% Part Time, 16% Temporary, and 16% Contract. Highlights an 100% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Suffolk, VA • Remote

$80 - $110/hr

Part-time

This job post has expired today. Applications are no longer accepted.


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.