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Remote Materials Science Jobs in Colorado (NOW HIRING)

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Remote Materials Science information

Is remote materials science in high demand?

Remote materials science roles are increasingly in demand due to growth in industries such as aerospace, electronics, and energy, which require expertise in materials development and analysis. Skills in laboratory techniques, data analysis, and familiarity with simulation tools enhance employability in this field.

What is a remote materials science?

A Remote Materials Science job involves researching, analyzing, and developing materials while working remotely. Professionals in this field study the properties and applications of metals, polymers, ceramics, and composites, often using virtual simulations, data analysis tools, and remote lab access. They collaborate with teams via digital platforms, conduct experiments, and optimize materials for industries like aerospace, electronics, and healthcare. This role requires strong technical skills, self-motivation, and the ability to communicate findings effectively with remote teams.

What jobs can I get with a remote materials science degree?

A remote materials science degree can qualify you for roles such as materials engineer, research scientist, quality assurance specialist, or product development engineer. These positions often require skills in laboratory analysis, data interpretation, and familiarity with CAD or simulation software, and may involve collaboration across teams or industries like aerospace, electronics, or manufacturing.

What are the key skills and qualifications needed to thrive in the remote materials science position, and why are they important?

To thrive in Remote Materials Science, you need a solid background in materials engineering or chemistry, data analysis, and scientific research, typically with at least a bachelor's or master's degree in a related field. Familiarity with simulation software (such as MATLAB, COMSOL, or Materials Studio), laboratory data management tools, and possibly industry certifications can be highly beneficial. Strong communication, time management, and problem-solving skills are essential for effective remote collaboration and project completion. These capabilities are crucial for contributing to innovative materials solutions and achieving research or product development goals in a remote setting.

What are the typical responsibilities of a remote materials science professional, and how does the remote aspect impact daily work?

As a Remote Materials Science professional, your daily tasks often include analyzing materials data, conducting research projects, running simulations, preparing technical reports, and collaborating with engineering or R&D teams via virtual meetings. The remote environment means you’ll rely heavily on digital collaboration tools for sharing results and coordinating experiments, and may need to be proactive in communicating with colleagues across time zones. While you may occasionally visit laboratories for hands-on testing, most work is completed independently from your home or a remote office. This setup allows for increased flexibility but also requires strong self-motivation and organizational skills to manage multiple projects efficiently.

What are the most commonly searched types of Materials Science jobs in Colorado? The most popular types of Materials Science jobs in Colorado are:
What cities in Colorado are hiring for Remote Materials Science jobs? Cities in Colorado with the most Remote Materials Science job openings:
Infographic showing various Remote Materials Science job openings in Colorado as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

$51K/yr

Full-time

Posted 4 days ago


U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense


Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience utilizing existing workflows or assisting in the development of techniques to process imagery, raster, and/or 3D data
Academic or professional experience applying fundamental concepts of imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience applying established remote sensing analytic techniques to assist in solving scientific or operational intelligence problems
Experience contributing to the development of written reports or briefings to communicate findings
Experience working with team members to complete assigned tasks
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Academic or professional experience researching analytical techniques in published literature related to remote sensing
Knowledge of scripting languages (such as Python, R, or Matlab) for data processing or analysis
Familiarity with or academic exposure to how artificial intelligence, machine learning computer vision, and/or automated feature extraction concepts are applied to remote sensing
Experience assisting with the operation, calibration, or testing of satellite, airborne, and/or ground imaging systems and chemical analysis instruments
Knowledge of standard remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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