2

Remote Ediscovery Jobs in Lexington, SC (NOW HIRING)

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 (Central or Eastern Time Zone Required) Schedule: Mon-Fri, 8 AM - 5 PM EST or 9 AM - 6 PM ... e.g., Google SGE, LLM-powered discovery). Client & Account Ownership * Oversee the AEO/SEO side of ...

VP, AI Services - US-Based

North, SC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position. Applicants must be authorized to work in the US at the time of hire ... Lead discovery workshops and maturity assessments to baseline clients' current ITSM and AI ...

Remote Ediscovery information

What is a remote ediscovery professional?

A Remote Ediscovery professional is someone who manages the identification, collection, processing, and analysis of electronic data for legal cases, all while working from a remote location. These professionals support law firms, corporations, or government agencies in handling electronically stored information (ESI) relevant to litigation, investigations, or regulatory matters. Their work often involves using specialized software to organize, review, and produce digital evidence, ensuring compliance with legal standards and data privacy laws.

What are the qualifications to get a remote ediscovery job?

Required qualifications depend in part on the particular eDiscovery position. Those working as discovery analysts need at least a bachelor’s degree, but a graduate degree is beneficial. Necessary skills include strong logic, analytical, and communication skills. eDiscovery project managers need a bachelor’s degree and prior experience in the legal field, especially as related to eDiscovery. An associate consultant may need advanced legal or technical certifications or education. Employers prefer applicants with prior experience, familiarity with various email archive platforms, and excellent written and oral communication skills.

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

To thrive as a Remote Ediscovery Specialist, you need a solid understanding of electronic discovery processes, legal procedures, and data management, usually supported by a degree in law, information technology, or a related field. Familiarity with eDiscovery platforms (such as Relativity or Logikcull), document review software, and certifications like CEDS (Certified E-Discovery Specialist) are often required. Excellent attention to detail, strong analytical thinking, and clear communication skills are vital for success in a remote environment. These competencies ensure accurate, efficient handling of sensitive legal data, compliance with regulations, and effective collaboration with legal teams.

What are the typical collaboration challenges faced by remote ediscovery professionals, and how can they be addressed?

Remote eDiscovery professionals often collaborate with legal teams, IT staff, and external vendors across different locations and time zones. Common challenges include coordinating workflows, maintaining secure and efficient communication, and ensuring the integrity of sensitive data. These can be addressed by using secure project management platforms, establishing clear protocols for information sharing, and scheduling regular virtual check-ins to keep all stakeholders aligned. Adapting to these practices helps foster teamwork and ensures a smooth eDiscovery process even in a fully remote setting.

What is the difference between Remote Ediscovery vs Remote Litigation Support Specialist?

AspectRemote EdiscoveryRemote Litigation Support Specialist
CredentialsLegal or IT certifications, e.g., Certified Ediscovery Specialist (CEDS)Legal or IT certifications, e.g., Certified Litigation Support Professional (CLSP)
Work EnvironmentLegal firms, e-discovery vendors, corporate legal departmentsLaw firms, courts, legal departments, e-discovery vendors
Industry UsagePrimarily in legal and e-discovery sectorsLegal industry, litigation support services

Remote Ediscovery focuses on managing electronic data for legal cases, including data collection, review, and production. Remote Litigation Support Specialists assist with case preparation, document management, and trial support. While both roles involve legal data, Ediscovery is more specialized in electronic data processing, whereas Litigation Support covers broader case support tasks.

Is remote ediscovery a good career?

Remote ediscovery is a growing field within legal and technology sectors, involving the identification, collection, and review of electronic data for legal cases. It offers flexibility, demand for specialized skills like data analysis and familiarity with ediscovery tools, and opportunities for career advancement. However, success depends on technical proficiency, attention to detail, and understanding of legal processes.

What are popular job titles related to Remote Ediscovery jobs in Lexington, SC?

For Remote Ediscovery jobs in Lexington, SC, the most frequently searched job titles are:

What job categories do people searching Remote Ediscovery jobs in Lexington, SC look for?

The top searched job categories for Remote Ediscovery jobs in Lexington, SC are:

What cities near Lexington, SC are hiring for Remote Ediscovery jobs?

Cities near Lexington, SC with the most Remote Ediscovery job openings:

Infographic showing various Remote Ediscovery job openings in Lexington, SC as of August 2026, with employment types broken down into 86% Full Time, 5% Part Time, 2% Temporary, and 7% Contract. Highlights an 62% Physical, 12% Hybrid, and 26% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Columbia, SC • Remote

$80 - $110/hr

Part-time

Posted 17 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.