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$11

$62

$88

How much do remote hybrid science jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for remote hybrid science in the United States is $62.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $70.67 per hour, depending on experience, location, and employer.

What is a Remote Hybrid Science job?

A Remote Hybrid Science job typically involves working in a scientific field, such as biology, chemistry, or environmental science, with a combination of remote (work-from-home) and in-person responsibilities. This hybrid model allows employees to perform data analysis, research, and reporting from home, while occasionally attending on-site meetings, lab work, or fieldwork as needed. The flexibility of this setup provides a balance between independent work and hands-on scientific tasks, making it an increasingly popular choice for both employers and professionals in the science sector.

What are the key skills and qualifications needed to thrive as a Remote Hybrid Scientist, and why are they important?

To thrive as a Remote Hybrid Scientist, you typically need a strong background in scientific research, data analysis, and a relevant degree (such as biology, chemistry, or physics). Familiarity with virtual collaboration tools (like Zoom, Slack), laboratory information management systems (LIMS), and data analysis software (such as R or Python) is essential. Excellent communication, time management, and self-motivation are crucial soft skills for managing remote and in-person work. These abilities ensure effective research outcomes, seamless collaboration, and productivity in flexible work environments.

What is the difference between Remote Hybrid Science vs Remote Hybrid Data Analyst?

AspectRemote Hybrid ScienceRemote Hybrid Data Analyst
Required CredentialsScience degrees, certifications in research or laboratory techniquesStatistics, data analysis, and software certifications
Work EnvironmentLaboratories, research facilities, or field sites with remote data reviewOffice or home-based with data visualization and analysis tools
Industry UsageResearch institutions, healthcare, environmental agenciesBusiness, finance, marketing, healthcare analytics

Remote Hybrid Science involves research, experiments, and laboratory work combined with remote data management, often in scientific or healthcare fields. Remote Hybrid Data Analyst focuses on analyzing data sets remotely, using statistical tools. While both roles may require similar remote work setups, their core functions and industry applications differ significantly.

How does a Remote Hybrid Science role typically balance in-person and remote work, and what impact does this have on collaboration with the team?

A Remote Hybrid Science role usually involves a combination of remote work—such as data analysis, report writing, and virtual meetings—and on-site tasks like laboratory experiments or equipment maintenance. This structure allows flexibility but also requires strong communication skills to ensure seamless collaboration with colleagues who may be working from different locations. Regular check-ins, digital project management tools, and scheduled on-site days help maintain team cohesion and project progress. Adapting to this hybrid model can be a challenge initially, but it often leads to a more adaptable and resilient work environment.
More about Remote Hybrid Science jobs
What cities are hiring for Remote Hybrid Science jobs? Cities with the most Remote Hybrid Science job openings:
What states have the most Remote Hybrid Science jobs? States with the most job openings for Remote Hybrid Science jobs include:
What job categories do people searching Remote Hybrid Science jobs look for? The top searched job categories for Remote Hybrid Science jobs are:
Remote Hybrid Science jobs near you
Infographic showing various Remote Hybrid Science job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 61% Physical, 30% Hybrid, and 9% Remote job distribution, with an average salary of $129,181 per year, or $62.1 per hour.

Senior Data Engineer - Cloud & AI Platforms - AIRLHV

NavitasPartners

Yonkers, NY • On-site, Remote

$40/hr

Full-time

Posted 27 days ago

Job description

Senior Data Engineer – Cloud & AI Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases.

Key Responsibilities:

  • Architect and develop scalable data pipelines and cloud-native data solutions
  • Collaborate with data scientists, analysts, and business stakeholders
  • Ensure high performance, data quality, and governance across platforms

Required Skills:

  • Strong experience in data engineering and cloud-based architectures
  • Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery
  • Proficiency in AWS, Azure, or GCP environments

Nice to Have:

  • Experience with ML/AI pipelines (Python, PyTorch, MLOps)
  • Exposure to GenAI frameworks such as LangChain or agent-based systems
  • Familiarity with AI governance and compliance standards

For more details reach at resumes@navitassols.com.