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Remote Science Policy Analyst Jobs in Tennessee (NOW HIRING)

... science or advertising analytics * Mastery of advanced analytical techniques including but not ... Remote employees must be based in the United States.

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Remote Science Policy Analyst information

What is a remote science policy analyst?

A Remote Science Policy Analyst is a professional who analyzes scientific research, trends, and data to inform and develop public policies, often working from a remote location. They bridge the gap between scientific knowledge and policy-making by providing evidence-based recommendations to government agencies, nonprofit organizations, or private companies. Their work can involve preparing reports, drafting policy briefs, and communicating complex scientific information to diverse audiences, all while collaborating virtually with stakeholders. This role is ideal for those who have strong analytical skills and a passion for both science and public policy.

What are the key skills and qualifications needed to thrive as a remote science policy analyst, and why are they important?

To thrive as a Remote Science Policy Analyst, you need a solid background in scientific research, policy analysis, and often a degree in a relevant scientific or policy field. Familiarity with data analysis tools, policy management software, and knowledge of regulatory frameworks is typically required. Exceptional written communication, critical thinking, and the ability to collaborate virtually are essential soft skills. These competencies ensure effective analysis, clear recommendations, and successful navigation of complex science-policy environments.

How does a remote science policy analyst collaborate effectively with stakeholders and team members across different time zones?

Remote Science Policy Analysts often work with diverse teams, policymakers, and researchers located in various regions, which makes effective virtual collaboration essential. Regular communication via emails, video conferences, and collaborative platforms like Slack or Microsoft Teams is crucial for staying aligned on project goals and policy developments. Flexible scheduling and clear documentation help manage time zone differences, ensuring smooth workflow and timely input from all parties. Building strong relationships remotely also involves proactive outreach and adaptability to different communication styles.

What is the difference between Remote Science Policy Analyst vs Remote Environmental Policy Analyst?

AspectRemote Science Policy AnalystRemote Environmental Policy Analyst
Required CredentialsBachelor's or higher in science, policy, or related fields; often requires knowledge of science and policyBachelor's or higher in environmental science, policy, or related fields; often requires environmental expertise
Work EnvironmentRemote, policy-focused organizations, government agencies, think tanksRemote, environmental NGOs, government agencies, consulting firms
Employer & Industry UsageGovernment, research institutions, policy organizationsEnvironmental NGOs, government agencies, consulting firms

The main difference between a Remote Science Policy Analyst and a Remote Environmental Policy Analyst lies in their focus area. The Science Policy Analyst concentrates on scientific research and its influence on policy, while the Environmental Policy Analyst specializes in environmental issues and regulations. Both roles require similar educational backgrounds and often work remotely for organizations involved in policy development and analysis.

What are popular job titles related to Remote Science Policy Analyst jobs in Tennessee?

For Remote Science Policy Analyst jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Science Policy Analyst jobs in Tennessee look for?

The top searched job categories for Remote Science Policy Analyst jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Science Policy Analyst jobs?

Cities in Tennessee with the most Remote Science Policy Analyst job openings:

Cheminformatics Specialist - Remote

micro1 AI

Knoxville, TN • 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.