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Remote Ediscovery Forensics Jobs in Raleigh, NC (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 ...

This position is a remote position with occasional travel required. Principle Power Consultant ... • Lead discovery, qualification, and shaping of new consulting opportunities. • Translate ...

Team Lead, Sales Engineering

Raleigh, NC · On-site +1

$99K - $131K/yr

Run technical discovery, POCs, and demos on your own deals - typically the largest and most ... E-commerce or DTC background - MER, CAC, contribution margin, payback. * Competitive experience.

Team Lead, Sales Engineering

Raleigh, NC · On-site +1

$99K - $131K/yr

Run technical discovery, POCs, and demos on your own deals - typically the largest and most ... E-commerce or DTC background - MER, CAC, contribution margin, payback. * Competitive experience.

Senior Software Engineer

Raleigh, NC · On-site +1

$119K - $157K/yr

Overview This role is remote within NC, TX, AZ, or GA We are seeking an experienced Senior ... Develop and maintain integrations between Salesforce and external systems (e.g., MuleSoft, DocuSign ...

Showing results 21-40

Remote Ediscovery Forensics information

See Raleigh, NC salary details

$42.3K

$112.2K

$162.8K

How much do remote ediscovery forensics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote ediscovery forensics in Raleigh, NC is $112,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a remote ediscovery forensics professional?

Remote ediscovery forensics refers to the process of collecting, analyzing, and preserving electronic evidence from digital devices without needing to be physically present at the device’s location. This is often done using specialized tools and secure connections to access data remotely, which is especially useful for legal cases, corporate investigations, or compliance audits. Remote ediscovery forensics professionals ensure that evidence is handled properly to maintain its integrity, allowing it to be admissible in court or other proceedings. This approach offers greater flexibility, reduced costs, and faster turnaround times compared to traditional on-site forensic methods.

How does a remote ediscovery forensics professional typically collaborate with legal teams and other stakeholders when working off-site?

Remote Ediscovery Forensics professionals frequently coordinate with attorneys, litigation support staff, and IT teams through secure digital platforms. They are responsible for collecting, preserving, and analyzing digital evidence while maintaining strict chain-of-custody procedures. Effective communication and documentation are essential, as these professionals often participate in virtual meetings to discuss findings, clarify requirements, and address potential challenges. Collaboration tools, project management software, and secure data transfer protocols are commonly used to ensure seamless teamwork despite physical distance.

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

To thrive as a Remote Ediscovery Forensics professional, you need a strong background in digital forensics, data analysis, and electronic discovery processes, typically supported by a degree in computer science, cybersecurity, or a related field. Familiarity with forensic tools such as EnCase, FTK, Relativity, and certifications like CCE or EnCE is often required. Attention to detail, problem-solving, and effective communication are essential soft skills for interpreting complex data and collaborating with legal teams. These competencies ensure the accurate identification, preservation, and analysis of digital evidence, which is critical for supporting legal investigations and compliance.

What are popular job titles related to Remote Ediscovery Forensics jobs in Raleigh, NC?

For Remote Ediscovery Forensics jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Ediscovery Forensics jobs in Raleigh, NC look for?

The top searched job categories for Remote Ediscovery Forensics jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Ediscovery Forensics jobs?

Cities near Raleigh, NC with the most Remote Ediscovery Forensics job openings:

Infographic showing various Remote Ediscovery Forensics job openings in Raleigh, NC as of August 2026, with employment types broken down into 70% Full Time, 17% Part Time, 6% Temporary, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,226 per year, or $54 per hour.

Bioinformatics Software Engineer

micro1 AI

Durham, NC • Remote

$80 - $110/hr

Part-time

Posted 20 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.