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Weather Data Analyst Remote Jobs in Nevada (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Sparks, NV · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Vay

Operational Safety Lead

Las Vegas, NV · Remote

This is a rare opportunity to take ownership of operational safety for Vay's remote driving ... Develop and optimize data-driven tools and methods for incident tracking and risk analysis

Switch

Data Center MEP Field Manager

Sparks, NV · On-site +1

... progress, analyze spatial data, and proactively mitigate schedule risks. What We're Looking For ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Teksouth Corporation

Power Platform Innovator

NV · On-site +1

Remote Clearance Requirement: Active Secret Clearance Company Overview Teksouth is committed to ... data analysis. As a Power Platform Innovator, you will work at the intersection of requirements ...

US Department of Commerce

Meteorologist

Elko, NV · On-site +1

$40K/yr

... analysis and prediction of weather systems (synoptic/mesoscale) * 3 semester hours in physical ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

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Weather Data Analyst Remote information

What is a weather data analyst?

A Weather Data Analyst (Remote) is a professional who collects, analyzes, and interprets meteorological data to identify trends, forecast weather patterns, and support decision-making for various industries. Working remotely, they use statistical tools, computer models, and visualization techniques to provide insights from weather data. Their work helps organizations in sectors like agriculture, transportation, and energy make informed choices based on climate and weather conditions.

What are the key skills and qualifications needed to thrive as a weather data analyst?

To thrive as a Weather Data Analyst (Remote), you need a strong background in meteorology, statistics, and data analysis, typically supported by a relevant degree in atmospheric science, mathematics, or a related field. Proficiency with data analytics tools like Python, R, GIS software, and experience with meteorological data platforms is essential. Strong attention to detail, critical thinking, and effective communication skills help you interpret complex data and present actionable insights. These skills are crucial for providing accurate weather analysis and forecasts that support decision-making in industries affected by weather conditions.

How does a weather data analyst collaborate with other teams in a remote work environment?

As a remote Weather Data Analyst, you'll frequently collaborate with meteorologists, software developers, and decision-makers through virtual meetings and shared digital platforms. Regular communication is essential to ensure data quality, align on analytical goals, and deliver actionable insights. You may also coordinate with IT teams to optimize data pipelines and with product teams to translate weather analysis into user-friendly reports or tools. Building strong digital communication habits and being proactive in sharing updates will help you thrive in this collaborative, distributed setting.

What is the difference between Weather Data Analyst Remote vs Meteorologist?

AspectWeather Data Analyst RemoteMeteorologist
Required CredentialsBachelor's in Meteorology, Data Science, or related field; often certifications in data analysisBachelor's or higher in Meteorology or Atmospheric Science; often state licensure or certification
Work EnvironmentRemote, data-focused, often in tech or research companiesFieldwork, weather stations, TV stations, or research facilities
Employer & Industry UsageTech firms, research institutions, government agenciesBroadcast media, government weather services, research centers

Weather Data Analysts Remote primarily analyze weather data remotely using statistical tools, while Meteorologists often work in the field or on-site providing forecasts. Both roles require a background in meteorology, but their work environments and job functions differ significantly.

What are popular job titles related to Weather Data Analyst Remote jobs in Nevada?

For Weather Data Analyst Remote jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Weather Data Analyst Remote jobs in Nevada look for?

The top searched job categories for Weather Data Analyst Remote jobs in Nevada are:

What cities in Nevada are hiring for Weather Data Analyst Remote jobs?

Cities in Nevada with the most Weather Data Analyst Remote job openings:

Weather Data Analyst Remote jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Sparks, NV • Remote

$80 - $110/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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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