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Remote Political Science Data Analytics Jobs in Kentucky

... political organization of space, agricultural and rural land use, urbanization, and ... Skilled at teaching geographic model application, spatial data analysis, and free-response question ...

... political organization of space, agricultural and rural land use, urbanization, and ... Skilled at teaching geographic model application, spatial data analysis, and free-response question ...

Monitor data quality and assist with basic analysis and reporting * Follow data security and ... Able to work independently in a remote environment * Willing to travel 25%+ to sites or industry ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Showing results 41-60

Remote Political Science Data Analytics information

What is the difference between Remote Political Science Data Analytics vs Political Data Analyst?

AspectRemote Political Science Data AnalyticsPolitical Data Analyst
Required CredentialsBachelor's or higher in Political Science, Data Analytics, or related fieldsBachelor's or higher in Political Science, Data Analytics, or related fields
Work EnvironmentRemote, often freelance or contract-basedTypically office-based or remote, depending on employer
Employer & Industry UsageGovernment agencies, research firms, NGOs, think tanksGovernment agencies, political campaigns, research organizations
Common Search & ComparisonYesYes

Remote Political Science Data Analytics involves analyzing political data remotely, often with a focus on research or policy. Political Data Analysts typically work on political campaigns or government projects, sometimes onsite. Both roles require similar credentials and are used across government and research sectors, but Remote Political Science Data Analytics emphasizes remote work flexibility.

What are the most commonly searched types of Political Science Data Analytics jobs in Kentucky? The most popular types of Political Science Data Analytics jobs in Kentucky are:
What are popular job titles related to Remote Political Science Data Analytics jobs in Kentucky? For Remote Political Science Data Analytics jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Political Science Data Analytics jobs in Kentucky look for? The top searched job categories for Remote Political Science Data Analytics jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Political Science Data Analytics jobs? Cities in Kentucky with the most Remote Political Science Data Analytics job openings:

AI Training Specialist - Life Sciences

micro1 AI

Lexington, KY • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


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.