1

Ediscovery Analyst Jobs in Alabama (NOW HIRING)

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ...

Showing results 41-60

Ediscovery Analyst information

See Alabama salary details

$28.1K

$66.4K

$117.8K

How much do ediscovery analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ediscovery analyst in Alabama is $66,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $78,900.00 per year, depending on experience, location, and employer.

What does an ediscovery analyst do?

An Ediscovery Analyst is responsible for managing the identification, preservation, collection, processing, review, and production of electronically stored information (ESI) for legal and regulatory matters. They work closely with legal teams, IT professionals, and compliance officers to ensure data is handled securely and in compliance with legal standards. Their role often involves using specialized software to process and analyze digital evidence, assisting in litigation support, and ensuring adherence to eDiscovery protocols such as the EDRM framework.

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

To thrive as an Ediscovery Analyst, you need a strong understanding of legal processes, data analysis, digital forensics, and compliance, usually supported by a degree in law, information technology, or a related field. Familiarity with eDiscovery platforms such as Relativity, Concordance, or Nuix, as well as certifications like Certified E-Discovery Specialist (CEDS), is highly valued. Excellent organizational skills, attention to detail, and effective communication are critical soft skills for managing complex data sets and collaborating with legal teams. These qualifications are important to ensure efficient handling of electronically stored information (ESI) in legal cases, maintain data integrity, and support successful case outcomes.

What are the typical daily responsibilities of an ediscovery analyst?

As an Ediscovery Analyst, your daily responsibilities often include managing the identification, collection, processing, and review of electronically stored information (ESI) relevant to legal cases. You will use specialized eDiscovery software to organize data, ensure compliance with legal standards, conduct quality checks, and support attorneys during the litigation process. Additionally, you may liaise with IT departments, legal teams, and vendors to coordinate data extraction and production. The role also involves maintaining detailed documentation and timelines to track the progress of each project. This combination of tasks ensures that all digital evidence is thoroughly managed and accessible for legal review.

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

The most popular types of Ediscovery Analyst jobs in Alabama are:

What are popular job titles related to Ediscovery Analyst jobs in Alabama?

For Ediscovery Analyst jobs in Alabama, the most frequently searched job titles are:

Infographic showing various Ediscovery Analyst job openings in Alabama as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $66,403 per year, or $31.9 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Huntsville, AL • Remote

$80 - $110/hr

Part-time

Posted 16 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.