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Remote Entry Level Public Policy Analyst Jobs in Reno, NV

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.

Bioinformatics Software Engineer

Reno, NV ยท Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.

Coder II - Remote

Reno, NV ยท On-site +1

$18.75 - $25/hr

Abstracts data in compliance with national, regional, and local policies, and interprets and ... Skill in communicating effectively with physicians, clinical staff, and the public. * Skill in ...

Showing results 21-40

Remote Entry Level Public Policy Analyst information

See Reno, NV salary details

$37.4K

$97.9K

$144.6K

How much do remote entry level public policy analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote entry level public policy analyst in Reno, NV is $97,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $131,100.00 per year, depending on experience, location, and employer.

What is a remote entry level public policy analyst?

A Remote Entry Level Public Policy Analyst is a professional who works from a remote location to support research, analysis, and evaluation of public policies. They typically assist in gathering data, preparing reports, and helping senior analysts with policy recommendations for government agencies, non-profits, or private organizations. Entry-level analysts often focus on literature reviews, data collection, and summarizing key findings. This role is suitable for recent graduates or individuals starting their careers in public policy who prefer or require remote work. Strong research, writing, and analytical skills are essential in this position.

What are the key skills and qualifications needed to thrive as a remote entry level public policy analyst?

To thrive as a Remote Entry Level Public Policy Analyst, you need strong research, analytical, and written communication skills, usually supported by a bachelor's degree in public policy, political science, or a related field. Familiarity with data analysis tools (such as Excel or SPSS), policy research databases, and proficiency in virtual collaboration platforms is important. Attention to detail, critical thinking, and the ability to work independently and communicate clearly are critical soft skills for this remote role. These abilities ensure accurate policy analysis, effective teamwork across distances, and impactful communication of policy recommendations.

What are some common challenges faced by remote entry level public policy analysts, and how can they be addressed?

Remote entry-level public policy analysts often encounter challenges such as limited access to mentorship, difficulties in building professional networks, and the need to stay updated on rapidly changing policy landscapes. To address these, analysts can proactively seek virtual networking opportunities, participate in online policy forums, and schedule regular check-ins with supervisors or mentors. Utilizing collaborative tools and maintaining clear communication with team members can also help bridge gaps and ensure successful project outcomes.
What are popular job titles related to Remote Entry Level Public Policy Analyst jobs in Reno, NV? For Remote Entry Level Public Policy Analyst jobs in Reno, NV, the most frequently searched job titles are:
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What cities near Reno, NV are hiring for Remote Entry Level Public Policy Analyst jobs? Cities near Reno, NV with the most Remote Entry Level Public Policy Analyst job openings:
Infographic showing various Remote Entry Level Public Policy Analyst job openings in Reno, NV as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% Remote job distribution, with an average salary of $97,927 per year, or $47.1 per hour.

Bioinformatics Software Engineer

micro1 AI

Sparks, NV โ€ข Remote

$80 - $110/hr

Part-time

Posted 10 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.