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Remote Science Jobs in Reston, VA (NOW HIRING)

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... science experience with understanding of collection, phenomenology, image formation process, and exploitation products. * Demonstrated experience in: * EO collection systems * Remote sensing ...

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for both ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Remote - Patent Attorneys

Fairfax, VA · Remote

$280K - $350K/yr

This is a remote position. About the Remote Opportunity: This is only for patent attorneys with ... Degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or ...

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350K/yr

This is a remote position. About the Remote Opportunity: This is only for patent agents with ... Degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or ...

Imagery Scientist (EO) - Senior

Falls Church, VA · On-site +1

$97K - $133K/yr

... science experience with understanding of collection, phenomenology, image formation process, and exploitation products. * Demonstrated experience in: * EO collection systems * Remote sensing ...

New

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

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Remote Science information

See Reston, VA salary details

$25.5K

$50.3K

$82.2K

How much do remote science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote science in Reston, VA is $50,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,100.00 and $54,100.00 per year, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

Remote science-related roles such as freelance data scientists, scientific consultants, or specialized research analysts can earn $10,000 or more per month without a formal degree, often by leveraging skills in programming, data analysis, and scientific tools. Success in these roles typically depends on experience, portfolio, and expertise rather than formal education alone.

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 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.

Can you work remotely as a scientist?

Remote science jobs are available in various fields such as research, data analysis, and laboratory management, often requiring strong computer skills and familiarity with digital collaboration tools. Many organizations offer remote positions, but some roles may require on-site presence for experiments or equipment use. Job requirements vary depending on the specific scientific discipline and employer policies.

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.

How can I make $100,000 a year working from home?

Remote science roles such as data scientists, research analysts, or scientific consultants can reach a $100,000 annual salary with advanced degrees, specialized skills, and experience. Building expertise in programming, statistical tools, and industry-specific knowledge, along with a strong professional network, can help achieve this income level while working remotely.

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.

Are there remote science jobs?

Yes, remote science jobs are available across various fields such as research, data analysis, and laboratory work. These roles often require strong technical skills, relevant certifications, and the ability to work independently in a virtual environment.
What are the most commonly searched types of Science jobs in Reston, VA? The most popular types of Science jobs in Reston, VA are:
What are popular job titles related to Remote Science jobs in Reston, VA? For Remote Science jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Science jobs in Reston, VA look for? The top searched job categories for Remote Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Science jobs? Cities near Reston, VA with the most Remote Science job openings:
Infographic showing various Remote Science job openings in Reston, VA as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 57% Physical, 4% Hybrid, and 39% Remote job distribution, with an average salary of $50,344 per year, or $24.2 per hour.

Imagery Scientist (EO) - Senior

GRVTY

Falls Church, VA • Remote

$97K - $133K/yr

Other

Posted 29 days ago


Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.  The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Assist the EO lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience with understanding of collection, phenomenology, image formation process, and exploitation products.
  • Demonstrated experience in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems