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Remote Data Analyst Opt Jobs in Oklahoma (NOW HIRING)

Quality Assurance Analyst

Kansas, OK · On-site +1

$55K - $65K/yr

... data entry, analysis, documentation, presentations, and calculations. * Ability to manage priorities, meet deadlines, and work independently in a remote team environment. Preferred Education ...

Business Analyst

Oklahoma City, OK · On-site +1

$51K - $74K/yr

... data and process models * Create, execute or analyze basic test scenarios to verify that client ... Fully remote options from Contiguous US locations only * Video cameras must be used during all ...

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

Showing results 41-60

Remote Data Analyst Opt information

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Infographic showing various Remote Data Analyst Opt job openings in Oklahoma as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Tulsa, OK • Remote

$90 - $120/hr

Part-time

Posted 10 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.