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Weekend Scientific Data Curator Jobs (NOW HIRING)

NT Concepts

Data Scientist

Herndon, VA · On-site

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... Your role will involve data curation, analysis, interpretation, visualization, and communication of ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

The position will involve leading the development of AI/ML models, data curation, planning and conducting field data collections, leading small programs, collaborating with other scientists and ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

The position will involve leading the development of AI/ML models, data curation, planning and conducting field data collections, leading small programs, collaborating with other scientists and ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

The position will involve leading the development of AI/ML models, data curation, planning and conducting field data collections, leading small programs, collaborating with other scientists and ...

NT Concepts

Data Scientist

Chantilly, VA · On-site

The Data Scientist will support AI and advanced analytics initiatives, develop software, and ... curation techniques, specifically those designed for imagery • Experience building and ...

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Weekend Scientific Data Curator information

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$25.5K

$72.6K

$119.5K

How much do weekend scientific data curator jobs pay per year?

As of Jun 9, 2026, the average yearly pay for weekend scientific data curator in the United States is $72,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $94,000.00 per year, depending on experience, location, and employer.

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

AspectWeekend Scientific Data CuratorWeekend Data Analyst
Required CredentialsBachelor's in Science, Data Management skillsBachelor's in Statistics, Data Analysis skills
Work EnvironmentResearch labs, scientific institutionsBusiness, marketing, or research firms
Industry UsageScientific research, academiaBusiness intelligence, marketing
Search & Comparison IntentUnderstanding roles in scientific data managementComparing data analysis tasks in different contexts

The Weekend Scientific Data Curator primarily focuses on organizing, maintaining, and ensuring the quality of scientific datasets in research environments. In contrast, the Weekend Data Analyst interprets data to generate insights for business or marketing purposes. While both roles involve data handling, the curator emphasizes scientific data integrity, whereas the analyst emphasizes data interpretation for decision-making.

What is a Weekend Scientific Data Curator?

A Weekend Scientific Data Curator is a professional responsible for organizing, validating, and maintaining scientific data, typically during weekend shifts to ensure continuous data management. Their duties include reviewing datasets for accuracy, annotating data, updating databases, and collaborating with researchers to ensure data integrity. This role is vital in research environments that generate or process large volumes of scientific data, such as laboratories, universities, or biotech companies. Weekend schedules help maintain uninterrupted support for ongoing scientific projects and ensure data is always current and accessible.

What are the main challenges faced by a Weekend Scientific Data Curator, and how can they be managed effectively?

One of the main challenges in the Weekend Scientific Data Curator role is ensuring data integrity and accuracy while working independently during non-standard hours. Since weekend shifts often have fewer team members available, curators must be proactive in resolving data ambiguities and prepared to make judgment calls with limited immediate support. Building strong documentation habits and maintaining clear communication with weekday teams are crucial for seamless handovers and minimizing errors. Regularly updating workflows and staying current with data standards can also help manage these challenges effectively.

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

To excel as a Weekend Scientific Data Curator, you need a solid background in biology or related sciences, attention to detail, and experience with data management, often supported by a relevant degree. Familiarity with databases, data curation software, and bioinformatics tools such as SQL, Excel, or specialized platforms like UniProt is typically required. Strong organizational skills, critical thinking, and effective written communication help you efficiently interpret and annotate scientific data. These abilities ensure the integrity, accessibility, and accuracy of scientific datasets, which are vital for research and collaboration.
More about Weekend Scientific Data Curator jobs
What cities are hiring for Weekend Scientific Data Curator jobs? Cities with the most Weekend Scientific Data Curator job openings:
What are the most commonly searched types of Scientific Data Curator jobs? The most popular types of Scientific Data Curator jobs are:
What states have the most Weekend Scientific Data Curator jobs? States with the most job openings for Weekend Scientific Data Curator jobs include:
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Weekend Scientific Data Curator jobs near you
Infographic showing various Weekend Scientific Data Curator job openings in the United States as of June 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.
Data Scientist

Data Scientist

NT Concepts

Herndon, VA • On-site

Full-time

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
About NT Concepts
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission-solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative "big idea" problem-solving.
Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients' most critical challenges. Here, you'll gain competitive benefits, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack, which paves the way for positive social change.
If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we'd love to have you move forward with us.

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