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Remote Scientific Data Curator Jobs (NOW HIRING)

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · Remote

$89K - $121K/yr

... improve data curation and development in support of Machine Learning algorithm testing and ... Scientific exploitation methods * Understanding of: * Remote sensing principles * EO imagery ...

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Remote Scientific Data Curator information

What is the difference between Remote Scientific Data Curator vs Remote Data Analyst?

AspectRemote Scientific Data CuratorRemote Data Analyst
CredentialsTypically requires a degree in science, data management, or related fieldUsually requires a degree in statistics, mathematics, or related field
Work EnvironmentOften in research institutions, labs, or scientific organizationsCommonly in business, finance, or tech companies
Industry UsageUsed in scientific research, academia, and healthcareUsed across various industries including finance, marketing, and tech
Search & Comparison IntentPeople compare to understand roles in scientific data managementPeople compare to distinguish data analysis responsibilities

The Remote Scientific Data Curator focuses on organizing, annotating, and maintaining scientific datasets, often within research or healthcare settings. In contrast, a Remote Data Analyst interprets data to generate insights for business decisions. While both roles handle data, their focus, industry, and required skills differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Scientific Data Curator, and why are they important?

To thrive as a Remote Scientific Data Curator, you need a strong background in biology, bioinformatics, or a related scientific field, often supported by an advanced degree. Familiarity with data management systems, database tools (like SQL), and sometimes programming languages such as Python or R is typically required. Attention to detail, strong organizational skills, and effective written communication are vital soft skills for ensuring data accuracy and collaborating remotely. These skills are crucial to maintain high-quality, accessible scientific data that supports research and discovery across the scientific community.

What are the main challenges Remote Scientific Data Curators face when ensuring data quality and consistency across distributed teams?

Remote Scientific Data Curators often work with large, complex datasets from multiple sources, making it challenging to maintain uniform data quality and consistency. Since teams are distributed, clear communication and standardized protocols are essential to prevent discrepancies and data entry errors. Regular virtual meetings and collaborative tools help keep everyone aligned, but curators must also be proactive in documenting changes and clarifying ambiguities to ensure data sets remain accurate and reliable for research and analysis.

What does a Remote Scientific Data Curator do?

A Remote Scientific Data Curator is responsible for organizing, managing, and maintaining scientific datasets to ensure their accuracy, accessibility, and usability. They work remotely with research teams to collect, annotate, and standardize data, making it easier for scientists and researchers to use and share information. Their tasks often include data cleaning, metadata creation, quality control, and ensuring compliance with data management standards and policies.
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Remote Scientific Data Curator jobs near you
Infographic showing various Remote Scientific Data Curator job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Data Technician (Remote)

Tactibit Technologies LLC

Silver Spring, MD • Remote

Full-time

Posted 7 days ago

Job description

Tactibit Technologies provides innovative information technology, cybersecurity, and cloud support services to the Federal Government. We support some of the nation's most critical and demanding projects including satellite operations, critical infrastructure, and search and rescue. We are a diverse team of hands-on professionals dedicated to solving problems and developing innovative solutions in support of our customers' critical missions. Our success is dependent on our inclusive, collaborative environment with a shared commitment to excellence in everything we do.


About the Data Technician position

We are looking for a talented Data Technician to join our team remotely. You will support mission-critical systems that receive, process, disseminate, and store petabytes of environmental and scientific data collected from Earth orbiting satellites daily. You will collect, review, and input data into a computer processing system and review/audit output data. You should have a deep understanding of enterprise and/or scientific data sets and experience managing large-scale data.

Data Technician responsibilities are:
  • Research, design, deploy, and document new data management tools and techniques
  • Manage large-scale data sets from modern ground systems and applications
  • Support data management processing including data migration, backup, and recovery
  • Provide reporting metrics to management and customers
  • Assist with troubleshooting issues
  • Work with cross-functional teams to ensure sound data management practices throughout the software development lifecycle
Data Technician requirements are:
  • 8+ years of enterprise data management experience
  • Experience with GIS data
  • Strong understanding of data management processes and technologies
  • Experience using scripting languages such as Perl, Python, Java, PowerShell, Ruby, etc.
  • Strong analytical skills and ability to work under pressure
  • Must be able to pass a full background investigation and obtain a security badge to enter the applicable government facility
Desired Qualifications are:
  • Experience working with AWS services or AWS cloud certification(s) are a plus
  • Experience in high-performance computing, machine learning, artificial intelligence applications and frameworks in a cloud environment
  • Familiarity with environmental or scientific data processing
  • Familiarity with modern agile software development principles, practices, methods, and tools
  • Experience with version control systems (preferably Git) and issue tracking software (preferably Jira)
  • BS/BA degree in Computer Science, Engineering, or a related field preferred, but not required
  • Industry certifications such as AWS certifications