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Remote Technical Science Jobs in Washington (NOW HIRING)

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... science experience with understanding of collection, phenomenology, image formation process, and ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Axiologic Solutions LLC

AGS Scientist

Springfield, VA · On-site +1

The Chief Scientist will provide day-to-day technical management of the Nonconventional ... D. in physics, engineering, or remote-sensing. Detailed understanding of how the National Technical ...

Scout Space

Technical Program Manager

Reston, VA · On-site +1

$134K - $173K/yr

... Science, or a related technical field * 5-8+ years of experience in technical program management ... Our positions are based in Reston, Virginia, with much of our team operating in a hybrid or remote ...

ICF

Senior Technical Business Analyst

Reston, VA · On-site +1

Virginia Remote (with local travel to ICF's office and client events as needed) Ready to make a ... Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, or related ...

SAIC

Data Analyst - GEOINT Technical SME

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

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Remote Technical Science information

What is a Remote Technical Science job?

A Remote Technical Science job involves applying scientific principles and technical skills to solve problems, conduct research, or develop products, all while working from a location outside of a traditional office or laboratory. These professionals often use digital tools to collaborate with teams, analyze data, write reports, and communicate findings. Common roles include data analysts, research scientists, or technical consultants specializing in fields such as biology, chemistry, engineering, or environmental science. Remote Technical Science positions allow for flexibility and can be found in academia, private industry, or government organizations.

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

To thrive as a Remote Technical Scientist, you need a solid background in scientific research or engineering, analytical problem-solving, and typically a relevant bachelor's or advanced degree. Familiarity with laboratory information management systems (LIMS), data analysis software like Python or R, and remote collaboration tools is highly valuable. Excellent communication, self-motivation, and adaptability are key soft skills for remote teamwork and independent research. These skills and qualities are essential for ensuring accurate scientific outcomes, effective virtual collaboration, and productivity outside traditional lab environments.

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

Remote technical science professionals often encounter challenges such as maintaining effective communication with colleagues, accessing specialized equipment, and staying engaged with ongoing research. To address these, it's important to utilize collaborative tools like video conferencing and shared digital workspaces, proactively schedule regular meetings, and coordinate closely with on-site teams to ensure timely access to necessary resources. Additionally, setting clear goals and maintaining transparent documentation can help bridge the gap between remote and in-person work, fostering a productive and connected team environment.
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Remote Technical Science jobs near you

Imagery Scientist (EO) - Senior

GRVTY

Falls Church, VA • Remote

$97K - $133K/yr

Other

Re-posted 27 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

Apply