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Ediscovery Analyst Remote Jobs in Columbia, SC (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Columbia, SC · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

Qualio

Account Executive (Remote)

North, SC · Remote

Our platform enables audit readiness in weeks through multi-standard automated gap analysis and ... Command the full sales cycle including discovery, demo, proposal/commercials, and close through ...

Focused HR Solutions

8-11 Security Analyst

Columbia, SC · Remote

$60 - $75/hr

Position Overview: * 100% Remote. * This position is up to 15 months, with the option of extension ... E CCSP) * GIAC CERTIFIED INCIDENT HANDLER (GCIH) * SECURITY + * OR SIMILAR WITH VALID EXPERIENCE ...

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How much do ediscovery analyst remote jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ediscovery analyst remote in Columbia, SC is $67,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $80,500.00 per year, depending on experience, location, and employer.

What is an ediscovery analyst?

An Ediscovery Analyst (Remote) is a professional who manages the process of identifying, collecting, preserving, and analyzing electronic data for legal cases, while working from a remote location. They use specialized software tools to process emails, documents, and other electronic records that may be relevant to litigation or investigations. Ediscovery Analysts ensure data is handled securely and in compliance with legal and regulatory requirements. Their role is crucial in supporting attorneys and legal teams with the evidence needed for legal proceedings.

What are the key skills and qualifications needed to thrive as an ediscovery analyst?

To thrive as an Ediscovery Analyst, you need a background in legal procedures, strong analytical abilities, and familiarity with the eDiscovery lifecycle, often supported by a degree in law, information management, or a related field. Expertise in eDiscovery tools like Relativity, Nuix, or Concordance, as well as certifications such as CEDS (Certified E-Discovery Specialist), are typically required. Attention to detail, strong organizational skills, and effective communication are vital soft skills for coordinating with legal teams and managing sensitive data. These competencies are essential for ensuring efficient, accurate, and secure handling of electronically stored information in legal matters.

What are some common challenges remote ediscovery analysts face, and how can they be addressed?

Remote eDiscovery Analysts often encounter challenges such as managing large volumes of data securely, coordinating effectively with legal teams across different time zones, and ensuring compliance with strict confidentiality protocols while working from home. To address these issues, it's important to use secure, cloud-based eDiscovery platforms, maintain clear communication with team members through regular virtual meetings, and follow robust data security best practices. Leveraging collaborative tools and staying updated on industry regulations can also help remote analysts work efficiently and minimize risks.

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

AspectEdiscovery Analyst RemoteEdiscovery Specialist Remote
CredentialsTypically requires a bachelor's degree in IT, law, or related field; certifications like ACEDS or CCEDS are commonSimilar credentials; often holds certifications like ACEDS or CCEDS, with additional specialized training
Work EnvironmentRemote, often in legal or IT firms, handling electronic data for legal casesRemote, usually within legal or consulting firms, focusing on data review and legal compliance
Industry UsageCommonly used in legal, corporate, and consulting sectorsWidely used in legal, law firms, and e-discovery service providers

Both roles involve electronic data review and legal compliance, with similar credentials and remote work settings. The main difference lies in the specific focus: Ediscovery Analysts often handle data processing and analysis, while Ediscovery Specialists focus more on data review and legal procedures.

Is ediscovery a good career?

Ediscovery analysis is a growing field within legal and IT industries, involving the identification, collection, and review of electronic data for litigation. It offers opportunities for remote work, requires skills in data management and legal processes, and often benefits from certifications like Certified Ediscovery Specialist (CEDS). The career can be stable and lucrative for those with technical and analytical skills.

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

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

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

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

Ediscovery Analyst Remote jobs near you
Infographic showing various Ediscovery Analyst Remote job openings in Columbia, SC as of August 2026, with employment types broken down into 57% Full Time, and 43% Temporary. Highlights an 100% Remote job distribution, with an average salary of $67,776 per year, or $32.6 per hour.

Cheminformatics Specialist - Remote

Columbia, SC • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Re-posted 11 hours 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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