2

Remote Scientific Data Curator Jobs in Virginia (NOW HIRING)

... data curation and synthetic data generation to model training, evaluation, and delivery. Our ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

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

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is seeking a ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... scientific techniques to translate and correlate data into graphical, written, visual, and verbal ...

This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk ...

next page

Showing results 1-20

Remote Scientific Data Curator information

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.

What are the key skills and qualifications needed to thrive as a remote scientific data curator?

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 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 most commonly searched types of Scientific Data Curator jobs in Virginia?

The most popular types of Scientific Data Curator jobs in Virginia are:

What are popular job titles related to Remote Scientific Data Curator jobs in Virginia?

For Remote Scientific Data Curator jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Scientific Data Curator jobs in Virginia look for?

The top searched job categories for Remote Scientific Data Curator jobs in Virginia are:

What cities in Virginia are hiring for Remote Scientific Data Curator jobs?

Cities in Virginia with the most Remote Scientific Data Curator job openings:

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Full-time

Re-posted 18 days ago


Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

#JT