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Remote Collateral Review Analyst Jobs in Oklahoma

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

Evaluates analytical work done by others and makes decisions and recommendations that take into ... Participates in peer reviews to increase collaboration, ensure quality work and drive innovation

Showing results 21-40

Remote Collateral Review Analyst information

What is the difference between Remote Collateral Review Analyst vs Remote Loan Processor?

AspectRemote Collateral Review AnalystRemote Loan Processor
CredentialsTypically requires a finance, banking, or related certification; sometimes a degree in finance or businessOften requires similar financial or banking knowledge; certifications are less common
Work EnvironmentPrimarily reviews collateral documentation remotely, focusing on risk assessmentProcesses loan applications, verifies documents, and communicates with clients remotely
Industry UsageCommon in banking, mortgage, and financial servicesWidely used in mortgage, banking, and lending institutions

The Remote Collateral Review Analyst and Remote Loan Processor roles both operate in financial services and often require similar credentials. The key difference is that the analyst focuses on evaluating collateral documentation for risk, while the loan processor handles the overall loan application process. Both roles are essential in lending operations and are frequently performed remotely in banking and mortgage industries.

What are popular job titles related to Remote Collateral Review Analyst jobs in Oklahoma?

For Remote Collateral Review Analyst jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Remote Collateral Review Analyst jobs in Oklahoma look for?

The top searched job categories for Remote Collateral Review Analyst jobs in Oklahoma are:

What cities in Oklahoma are hiring for Remote Collateral Review Analyst jobs?

Cities in Oklahoma with the most Remote Collateral Review Analyst job openings:

Cheminformatics Specialist - Remote

micro1 AI

Tulsa, OK • Remote

$80 - $110/hr

Part-time

Posted 22 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.