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Part Time Remote Business Process Analyst Jobs in Oklahoma

Part-time team members will typically need to dedicate an average of 20-30 hours per week to care ... This unique business model allows you to choose what days and what hours of the day you dedicate to ...

This job is full time or part time Talkiatry is a clinician-led, virtual psychiatry practice built ... If you need a reasonable accommodation to complete the application or interview process, please ...

This job is full time or part time Talkiatry is a clinician-led, virtual psychiatry practice built ... If you need a reasonable accommodation to complete the application or interview process, please ...

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Part Time Remote Business Process Analyst information

What is the difference between Part Time Remote Business Process Analyst vs Part Time Remote Data Analyst?

AspectPart Time Remote Business Process AnalystPart Time Remote Data Analyst
Required CredentialsBachelor's in Business, Management, or related field; certifications like CBAP or Six Sigma often preferredBachelor's in Statistics, Data Science, or related; certifications like CAP or Microsoft Data certifications common
Work EnvironmentRemote, collaborating with business teams to improve processesRemote, analyzing data sets to generate insights for decision-making
Employer & Industry UsageBusiness consulting, corporate, finance, healthcareTech companies, finance, marketing, healthcare

While both roles are remote and part-time, Business Process Analysts focus on optimizing workflows and processes within organizations, whereas Data Analysts concentrate on interpreting data to support strategic decisions. The choice depends on your skills in process improvement versus data analysis.

What cities in Oklahoma are hiring for Part Time Remote Business Process Analyst jobs?

Cities in Oklahoma with the most Part Time Remote Business Process Analyst job openings:

Medical Microbiology Consultant - Remote

micro1 AI

Broken Arrow, OK • Remote

$70 - $90/hr

Part-time

Posted 24 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.