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Real World Evidence Remote Jobs in Arizona (NOW HIRING)

YO AI Labs

GIS/geospatial Expert - Remote

Phoenix, AZ · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced GIS / Geospatial Experts with hands-on experience in ... You will apply your technical expertise to evaluate and document real-world geospatial workflows ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Evidence of research excellence through publications, open-source contributions, technical ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Evidence of research excellence through publications, open-source contributions, technical ...

New

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Evidence of research excellence through publications, open-source contributions, technical ...

New

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Evidence of research excellence through publications, open-source contributions, technical ...

New

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Evidence of research excellence through publications, open-source contributions, technical ...

New

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Evidence of research excellence through publications, open-source contributions, technical ...

New

YO AI Labs

Infrastructure Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Recommend improvements based on real-world engineering practices and industry standards.

YO AI Labs

DevOps Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Recommend improvements based on real-world engineering practices and industry standards.

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Real World Evidence Remote information

What is a real world evidence (RWE) professional?

A Real World Evidence (RWE) professional is someone who collects, analyzes, and interprets data from real-life clinical settings to inform healthcare decisions. Unlike traditional clinical trials, RWE uses data from sources such as electronic health records, insurance claims, patient registries, and wearable devices. These professionals help pharmaceutical companies, regulatory agencies, and healthcare providers understand how treatments work in diverse, everyday populations. Their work supports drug development, regulatory submissions, and improved patient outcomes, often working remotely with data science and epidemiology teams.

What are the key skills and qualifications needed to thrive as a real world evidence (RWE) professional working remotely?

To thrive as a Real World Evidence professional, you need a strong background in epidemiology, data analysis, and life sciences, often supported by an advanced degree such as a Master's or PhD. Familiarity with statistical software (like SAS, R, or Python), data visualization tools, and experience working with large healthcare databases are typically required. Excellent communication, self-motivation, and organizational skills help remote RWE professionals collaborate effectively and manage projects independently. These skills ensure rigorous, high-impact research that informs healthcare decisions and supports regulatory submissions in a remote, data-driven environment.

What are the common challenges faced by professionals in remote real world evidence (RWE) roles and how can they be addressed?

One common challenge in remote RWE positions is effective collaboration with cross-functional teams, as these roles often require close coordination with clinical, data science, and regulatory colleagues across different time zones. Clear communication and proactive scheduling of virtual meetings are essential to stay aligned on project objectives. Additionally, remote RWE professionals must be adept at managing large, complex datasets securely from home, which requires a strong understanding of data privacy protocols and remote access tools. Regular training and leveraging secure, cloud-based platforms can help address these challenges and ensure productivity.

What are the most commonly searched types of Real World Evidence jobs in Arizona?

The most popular types of Real World Evidence jobs in Arizona are:

What are popular job titles related to Real World Evidence Remote jobs in Arizona?

For Real World Evidence Remote jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Real World Evidence Remote jobs in Arizona look for?

The top searched job categories for Real World Evidence Remote jobs in Arizona are:

What cities in Arizona are hiring for Real World Evidence Remote jobs?

Cities in Arizona with the most Real World Evidence Remote job openings:

Real World Evidence Remote jobs near you
Infographic showing various Real World Evidence Remote job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

GIS/geospatial Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$80 - $100/hr

Full-time

Posted 14 days ago

Job description

GIS / Geospatial Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GIS / Geospatial Experts with hands-on experience in GIS, remote sensing, spatial analytics, and AI coding agents. You will apply your technical expertise to evaluate and document real-world geospatial workflows and help improve next-generation AI systems.

No prior AI training experience is required.

Key Responsibilities

  • Provide expert analysis and feedback on GIS and geospatial challenges.

  • Document technical workflows using Python and AI coding agents.

  • Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical tasks.

  • Evaluate AI-generated solutions for complex geospatial problems, debugging, and code development.

  • Document problem-solving approaches, workflows, and technical outcomes.

  • Contribute to datasets and evaluation frameworks for AI training and benchmarking.

  • Collaborate with technical stakeholders to refine documentation and project requirements.

Required Qualifications

  • Strong experience in GIS, remote sensing, spatial analytics, or related geospatial fields.

  • Hands-on experience using AI coding agents for technical or geospatial projects.

  • Proficiency in Python and geospatial technologies.

  • Experience working with complex codebases, debugging, or end-to-end feature development.

  • Strong analytical and problem-solving skills.

  • Excellent written and verbal communication.

  • Ability to clearly document technical workflows for technical and non-technical audiences.

  • Experience collaborating with remote or multidisciplinary teams.

Preferred Qualifications

  • Experience using Codex, Claude Code, Claude Cowork, or similar AI coding agents.

  • STEM background with ongoing professional experience in geospatial work.

  • Experience evaluating AI-generated code or technical solutions.

  • Experience with large-scale geospatial datasets and complex spatial workflows.