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Remote Entry Level Ediscovery Jobs in Arizona (NOW HIRING)

Bioinformatics Software Engineer

Yuma, AZ ยท 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 ...

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 ...

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 ...

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

Showing results 41-60

Remote Entry Level Ediscovery information

What is the difference between Remote Entry Level Ediscovery vs Remote Ediscovery Specialist?

AspectRemote Entry Level EdiscoveryRemote Ediscovery Specialist
CredentialsBasic understanding of eDiscovery tools, often with a relevant degree or certificationMore advanced certifications and experience in eDiscovery processes
Work EnvironmentEntry-level tasks, often supervised, with a focus on document review and data organizationMore independent, handling complex data analysis and review tasks
Employer UsageLegal firms, corporations, eDiscovery service providers

Remote Entry Level Ediscovery roles are ideal for those starting in the field, focusing on basic review and data organization. Remote Ediscovery Specialists typically have more experience and handle complex tasks independently. Both roles are common in legal and corporate environments, but the specialist position requires advanced skills and certifications.

What job categories do people searching Remote Entry Level Ediscovery jobs in Arizona look for?

The top searched job categories for Remote Entry Level Ediscovery jobs in Arizona are:

What cities in Arizona are hiring for Remote Entry Level Ediscovery jobs?

Cities in Arizona with the most Remote Entry Level Ediscovery job openings:

Infographic showing various Remote Entry Level Ediscovery job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Temporary. Highlights an 100% Remote job distribution.

AI Training Specialist - Cheminformatics

Mesa, AZ โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$80 - $110/hr

Part-time

Re-posted 13 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.