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Datasets Jobs in Oklahoma (NOW HIRING)

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

CRES Sr Business Analyst

Tulsa, OK · On-site

$84K - $109K/yr

Additionally, this role executes analysis, develops datasets, and advances data capabilities to support Corporate Real Estate Strategy. Team Culture At BOK Financial, your potential is our priority ...

CRES Sr Business Analyst

Tulsa, OK

$81K - $104K/yr

Additionally, this role executes analysis, develops datasets, and advances data capabilities to support Corporate Real Estate Strategy. Team Culture At BOK Financial, your potential is our priority ...

CRES Sr Business Analyst

Tulsa, OK · On-site

$81K - $104K/yr

Additionally, this role executes analysis, develops datasets, and advances data capabilities to support Corporate Real Estate Strategy. Team Culture At BOK Financial, your potential is our priority ...

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

Build and optimize enterprise Power BI datasets and reports to support decision-making across the organization * Develop and maintain data models that support consistent and reliable analytics

Work with relational datasets, including joining multiple tables and validating outputs for accuracy and consistency. * Assist in the development and maintenance of data pipelines, transformations ...

Data Platform Lead

Tulsa, OK · On-site

$90 - $120/hr

Build and optimize enterprise Power BI datasets and reports to support decision‑making across the organization * Develop and maintain data models that support consistent and reliable analytics

Showing results 21-40

Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

What are popular job titles related to Datasets jobs in Oklahoma?

For Datasets jobs in Oklahoma, the most frequently searched job titles are:

What cities in Oklahoma are hiring for Datasets jobs?

Cities in Oklahoma with the most Datasets job openings:

Infographic showing various Datasets job openings in Oklahoma as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Edmond, 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.