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Remote Graduate Materials Science Jobs in Virginia

Varsity Tutors

Statistics Graduate Level Tutor

Salem, VA · Remote

$18 - $40/hr

Ability to identify concepts students commonly struggle with, explain material using multiple ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Booz Allen Hamilton, Inc.

$86K - $198K/yr

Apply engineering physics, engineering mathematics, and materials science principles to support the ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

A-TEK Inc.

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Stay current with emerging data science technologies and best practices. Minimum Qualifications

IQVIA

Senior Data Team Lead (Remote)

Virginia Beach, VA · Remote

$86K - $217K/yr

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... Any false statements, misrepresentations, or material omissions during the recruitment process will ...

IQVIA

Senior Data Team Lead (Remote)

Norfolk, VA · Remote

$86K - $217K/yr

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... Any false statements, misrepresentations, or material omissions during the recruitment process will ...

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Remote Graduate Materials Science information

What are the key skills and qualifications needed to thrive as a remote graduate materials scientist?

To succeed as a Remote Graduate Materials Scientist, you need a solid background in materials science or engineering, typically with a relevant degree and familiarity with research methodologies. Proficiency in data analysis tools (such as MATLAB or Python), materials characterization software, and possibly knowledge of simulation platforms is often required. Strong problem-solving abilities, communication skills, and the capacity for independent work are essential soft skills for remote collaboration and innovation. These competencies enable effective research, clear reporting of results, and seamless teamwork in a virtual environment.

What is the difference between Remote Graduate Materials Science vs Remote Materials Engineer?

AspectRemote Graduate Materials ScienceRemote Materials Engineer
Required CredentialsBachelor's or Master's in Materials Science or related fieldBachelor's or Master's in Materials Engineering or related field
Work EnvironmentResearch, data analysis, lab simulations (remote-friendly)Design, testing, and development of materials (remote options vary)
Industry UsageResearch institutions, manufacturing, academiaManufacturing, aerospace, automotive, tech companies
Search & Comparison IntentEntry-level, research-focused rolesDevelopment and application-focused roles

The main difference is that Remote Graduate Materials Science roles typically focus on research, data analysis, and academic or lab-based tasks suitable for recent graduates. In contrast, Remote Materials Engineer positions involve applying engineering principles to develop and test materials, often in industry settings. Both roles require similar educational backgrounds but differ in job focus and responsibilities.

What are some common challenges faced by remote graduate materials science professionals, and how can they be addressed?

Remote graduate materials science professionals often face challenges such as limited access to laboratory equipment, difficulties in collaborating on hands-on experiments, and potential isolation from their research teams. To address these, it is important to leverage virtual collaboration tools, stay proactive in communicating with mentors and peers, and seek out remote-accessible datasets or simulation software. Many organizations also support remote professionals through regular virtual meetings and access to online training resources, helping ensure continued professional development and team integration.

What is a remote graduate materials scientist?

A Remote Graduate Materials Scientist is an early-career professional, typically with a recent degree in materials science or a related field, who conducts research, analysis, or development work from a remote location. Their responsibilities may include analyzing material properties, running simulations, and contributing to the development of new materials or products, all while collaborating virtually with teams and supervisors. This role is ideal for those seeking flexibility and the ability to work from anywhere, often relying on digital tools to perform experiments, analyze data, and communicate results.
What are the most commonly searched types of Graduate Materials Science jobs in Virginia? The most popular types of Graduate Materials Science jobs in Virginia are:
What are popular job titles related to Remote Graduate Materials Science jobs in Virginia? For Remote Graduate Materials Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Graduate Materials Science jobs in Virginia look for? The top searched job categories for Remote Graduate Materials Science jobs in Virginia are:
What cities in Virginia are hiring for Remote Graduate Materials Science jobs? Cities in Virginia with the most Remote Graduate Materials Science job openings:
Remote Graduate Materials Science jobs near you
Infographic showing various Remote Graduate Materials Science job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, 7% Contract, and 1% Nights. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.

Spectral Imagery Scientist

U.S. Department of Defense (DOD)

Springfield, VA • Remote

$76K/yr

Full-time

Posted 5 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 developing workflows or techniques to automate imagery, raster, and/or 3D data processing and exploitation activities
Experience with imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience developing remote sensing analytic techniques or tradecraft to solve scientific or operational intelligence problems
Experience developing and presenting findings to both technical and non-technical audiences via written reports and/or oral briefings
Experience collaborating across interdisciplinary teams to achieve operational and/or scientific objectives
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:
Experience researching and applying analytical techniques from published academic literature to operational remote sensing problems
Experience with software development or scripting (e.g., Matlab, Python, C++) to automate imagery, raster, and/or 3D data processing
Application of artificial intelligence, machine learning, computer vision, and/or automated feature extraction concepts to remote sensing data
Experience designing, operating, or calibrating satellite, airborne, or ground imaging systems and chemical analysis instruments
Experience with remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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