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Remote Ediscovery Jobs in Kansas (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Wichita, KS · Remote

$80 - $110/hr

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

NinjaOne

Enterprise Solutions Engineer

Kansas, KS · On-site +1

$94K - $117K/yr

We are flexible on remote work from home if you are located in the USA and reside in one of the ... Evolved from a technical background (e.g., TAM, support, systems engineer), with practical insight ...

NinjaOne

Enterprise Solutions Engineer, Channel

Kansas, KS · On-site +1

$94K - $117K/yr

You'll own the full technical sales cycle--from discovery and architecture through proof-of-concept ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

Bold Metrics

... eCommerce. We are a remote-first company that is full of inspiring and friendly people. We are ... You'll run everything from first outreach through discovery, business case, negotiation and ...

Cisco

Solutions Engineer

Topeka, KS · Remote

$218K - $286K/yr

While this is a remote position, we are seeking candidates located in or willing to relocate to the ... Own the full project lifecycle, including discovery, architecture, validation, POC execution, and ...

Aprio

Associate, Human Capital Services

Topeka, KS · On-site +1

Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio ... and E-Verify processes, and resolving discrepancies. Stay informed on employment law changes ...

StackAdapt

$104K - $134K/yr

StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada and the ... into discovery research * Experience facilitating workshops (e.g. ideation, co-creation) and ...

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Remote Ediscovery information

See Kansas salary details

$20.7K

$83.1K

$151.9K

How much do remote ediscovery jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote ediscovery in Kansas is $83,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,743.00 and $104,188.00 per year, depending on experience, location, and employer.

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.
More about Remote Ediscovery jobs

What are the most commonly searched types of Ediscovery jobs in Kansas?

The most popular types of Ediscovery jobs in Kansas are:

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

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

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

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

What cities in Kansas are hiring for Remote Ediscovery jobs?

Cities in Kansas with the most Remote Ediscovery job openings:

Remote Ediscovery jobs near you
Infographic showing various Remote Ediscovery job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, 2% Temporary, and 8% Contract. Highlights an 66% Physical, 12% Hybrid, and 22% Remote job distribution, with an average salary of $83,143 per year, or $40 per hour.

AI Training Specialist - Cheminformatics

Kansas City, KS • Remote

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

$80 - $110/hr

Part-time

Re-posted 12 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.

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