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Remote Political Science Data Analytics Jobs in Rhode Island

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Contributing to large-scale applications development, data science, or data analytics projects; and ...

New

Analyze data from other BSS/OSS systems to assist with mapping for new company conversions ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Posted today

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Support workflow orchestration, monitoring, troubleshooting, log analysis, and production ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Support workflow orchestration, monitoring, troubleshooting, log analysis, and production ...

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Partner with business stakeholders, analysts, and technology teams to translate business ...

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Partner with business stakeholders, analysts, and technology teams to translate business ...

Lead Strategic Finance Analyst

Providence, RI · On-site +1

$102K - $163K/yr

Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Healthcare Administration ... Remote: onsite 0-1 days per week. Permitted to reside in the following states, pending approval ...

Familiarity with automated valuation tools, risk scoring models, and property data analytics ... REMOTE * Standard business hours; flexibility may be required during peak volumes or pilot ...

Familiarity with automated valuation tools, risk scoring models, and property data analytics ... REMOTE * Standard business hours; flexibility may be required during peak volumes or pilot ...

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 popular job titles related to Remote Political Science Data Analytics jobs in Rhode Island?

For Remote Political Science Data Analytics jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Remote Political Science Data Analytics jobs in Rhode Island look for?

The top searched job categories for Remote Political Science Data Analytics jobs in Rhode Island are:

What cities in Rhode Island are hiring for Remote Political Science Data Analytics jobs?

Cities in Rhode Island with the most Remote Political Science Data Analytics job openings:

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Providence, RI • Remote

$80 - $110/hr

Part-time

Posted 16 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.