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Remote Political Data Science Jobs in Raleigh, NC

... Data Science, Business, ora relatedfield; OR equivalent relevant work experience. Location & Work Availability: This position isHybrid (4days in office,1day remote),based at our corporate ...

... Data Science, Business, ora relatedfield; OR equivalent relevant work experience. Location & Work Availability: This position isHybrid (4days in office,1day remote),based at our corporate ...

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

... Fisher Scientific, Unity Lab Services, Patheon and PPD. This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for ...

... remote access to cloud storage platforms like AWS S3, Azure Data Lake Storage, and Google Cloud ... Bachelor's degree or higher, preferably in data science, computer science, or a related ...

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... Deliver fair-balanced, scientifically rigorous presentations on clinical data, real-world evidence ...

Showing results 21-40

Remote Political Data Science information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do remote political data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote political data science in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Political Data Science jobs in Raleigh, NC?

The most popular types of Political Data Science jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Political Data Science jobs?

Cities near Raleigh, NC with the most Remote Political Data Science job openings:

Infographic showing various Remote Political Data Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 63% Full Time, 26% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Raleigh, NC • 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.