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Remote Political Science Data Analytics Jobs in Wrightstown, WI

micro1 AI

Bioinformatics Software Engineer

Green Bay, WI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... for scientific analysis. * Demonstrated ability to clearly communicate complex chemical and ...

micro1 AI

Physics Modeling Expert - Remote

Green Bay, WI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... and well-argued scientific outputs. * Strong analytical skills, able to isolate key physical ...

DataAnnotation

FP&A Manager - AI Trainer

Green Bay, WI · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Pentair

Senior SAP Analyst - EWM

Green Bay, WI · Remote

$82K - $152K/yr

External candidates can work remote, as long as you are within a reasonable driving distance of a ... A. or B.S.) in Information Systems, Business, Supply Chain, Computer Science, or a related field.

Faith Technologies

Digital Product Manager

Menasha, WI · Remote

... technical information, analyze data to identify patterns and provide insights for product ... Bachelor of Science in Engineering, Technology, Business, Computer Science or Marketing. * 8+ years ...

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All JobsPolitical Science Data Analytics JobsRemote Political Science Data Analytics JobsRemote Political Science Data Analytics Jobs in Wrightstown, WI

Remote Political Science Data Analytics information

See Wrightstown, WI salary details

$24

$53

$92

How much do remote political science data analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote political science data analytics in Wrightstown, WI is $53.70, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $60.82 per hour, depending on experience, location, and employer.

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 job categories do people searching Remote Political Science Data Analytics jobs in Wrightstown, WI look for?

The top searched job categories for Remote Political Science Data Analytics jobs in Wrightstown, WI are:

What cities near Wrightstown, WI are hiring for Remote Political Science Data Analytics jobs?

Cities near Wrightstown, WI with the most Remote Political Science Data Analytics job openings:

Remote Political Science Data Analytics jobs near you
Infographic showing various Remote Political Science Data Analytics job openings in Wrightstown, WI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $111,690 per year, or $53.7 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Green Bay, WI • Remote

$80 - $110/hr

Part-time

Posted 18 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.

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