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

SIU Investigator I

Billings, OK · On-site +1

$77K - $147K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... and forensic tools. * Make recommendations within defined authority guidelines. * Prepares and ...

Senior Underwriting Consultant

Kansas, OK · On-site +1

$78K - $92K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... Help shape the future you want to see - and discover that better can take you anywhere you want to ...

Showing results 21-40

Remote Ediscovery Forensics information

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 job categories do people searching Remote Ediscovery Forensics jobs in Oklahoma look for?

The top searched job categories for Remote Ediscovery Forensics jobs in Oklahoma are:

Infographic showing various Remote Ediscovery Forensics job openings in Oklahoma as of August 2026, with employment types broken down into 67% Full Time, 19% Part Time, 6% Temporary, and 8% Contract. Highlights an 100% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Edmond, OK • Remote

$80 - $110/hr

Part-time

Posted 18 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.