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Remote Science Jobs (NOW HIRING)

Mercor

Geospatial Scientist - Remote Sensing

New York, NY · Remote

$64 - $75/hr

Advanced domain expertise in geospatial science . * Experience with remote sensing methodologies and GIS analysis . * Background at organizations like USGS , NASA , NOAA , or a defense/intelligence ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... science, technology, and innovation problems. This work is in support of US Air Force and ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Colearn Academy

Remote Secondary Science Teacher

Columbia, SC · Remote

$39K - $50K/yr

A virtual charter school is looking for a passionate Secondary Science Teacher to engage middle and high school students in a remote learning environment. This full-time position requires valid state ...

DataAnnotation

$40/hr

This remote role allows for a flexible schedule, starting at $40+ per hour. Candidates should have ... and scientific reasoning. Join our team to shape the future of AI systems while working from ...

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Remote Science information

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$24.5K

$48.4K

$79K

How much do remote science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

More about Remote Science jobs
What cities are hiring for Remote Science jobs? Cities with the most Remote Science job openings:
What are the most commonly searched types of Science jobs? The most popular types of Science jobs are:
What states have the most Remote Science jobs? States with the most job openings for Remote Science jobs include:
What job categories do people searching Remote Science jobs look for? The top searched job categories for Remote Science jobs are:
Remote Science jobs near you
Infographic showing various Remote Science job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

Posted 14 days ago

Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

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