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Scientific Data Curator Jobs (NOW HIRING)

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 ...

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to ... Advanced Data Curation & Management: Develop comprehensive data curation strategies for ...

Scientific Evals

San Francisco, CA · On-site

$160K - $300K/yr

This role sits at the intersection of biology, data curation, and machine learning, and is ideal for someone with deep scientific training who is excited to shape how frontier AI systems learn to do ...

Scientific Evals

San Francisco, CA · On-site +1

$160K - $300K/yr

This role sits at the intersection of biology, data curation, and machine learning, and is ideal for someone with deep scientific training who is excited to shape how frontier AI systems learn to do ...

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 ...

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Scientific Data Curator information

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$25.5K

$72.6K

$119.5K

How much do scientific data curator jobs pay per year?

As of Jun 12, 2026, the average yearly pay for 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 are the typical daily responsibilities of a Scientific Data Curator?

As a Scientific Data Curator, your daily tasks often include reviewing and validating scientific datasets, annotating data with relevant metadata, and ensuring that datasets comply with established data standards and best practices. You may work closely with researchers to interpret data requirements, resolve inconsistencies, and document curation processes thoroughly. Collaboration with computational scientists, biostatisticians, and IT teams is common, especially when integrating new data sources or improving database functionalities. These responsibilities help maintain the quality and usability of data resources, which are vital for ongoing research projects and publications.

What is a Scientific Data Curator job?

A Scientific Data Curator is responsible for collecting, organizing, annotating, and maintaining scientific datasets to ensure they are accurate, accessible, and reusable. They work with researchers to standardize data formats, apply metadata standards, and manage databases or repositories. This role is essential in fields like bioinformatics, genomics, and environmental science, where large volumes of data must be carefully managed. Scientific Data Curators also ensure compliance with data-sharing policies and promote reproducibility in research by facilitating proper data documentation and preservation.

What are the key skills and qualifications needed to thrive in the Scientific Data Curator position, and why are they important?

A Scientific Data Curator needs a strong background in life sciences or related fields, combined with expertise in data management, data standards, and metadata annotation. Proficiency with bioinformatics tools, database management systems (like SQL), and experience with data curation software and FAIR data principles are highly valued, as are certifications in data science or information management. Attention to detail, strong organizational skills, and effective communication enhance collaboration with scientists, data engineers, and other stakeholders. These skills ensure accurate, accessible, and high-quality data that support research integrity and scientific discovery.

More about Scientific Data Curator jobs
What cities are hiring for Scientific Data Curator jobs? Cities with the most 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 Scientific Data Curator jobs? States with the most job openings for Scientific Data Curator jobs include:
Data Scientist

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Other

Posted 21 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

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