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Scientific Data Curator Jobs (NOW HIRING)

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

... data science or a related technical field. * Minimum of 7 years' experience designing, building and operating production data pipelines. * Strong experience with data curation, indexing and data ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

... science or a related technical field. Minimum of 7 years' experience designing, building and operating production data pipelines. Strong experience with data curation, indexing and data quality ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$107K - $145K/yr

... data science or a related technical field. * Minimum of 7 years' experience designing, building and operating production data pipelines. * Strong experience with data curation, indexing and data ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

... data science or a related technical field. * Minimum of 7 years' experience designing, building and operating production data pipelines. * Strong experience with data curation, indexing and data ...

NVIDIA

WI · On-site

NVIDIA's Curator team is seeking a Senior Applied Research Scientist with experience researching ... Working with our team of researchers to develop efficient and performant models and data pipelines ...

New

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$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 ...

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Scientific Data Curator information

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$25.5K

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How much do scientific data curator jobs pay per year?

As of Sep 7, 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 is a scientific data curator?

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 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 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.

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Scientific Data Curator jobs near you
Infographic showing various Scientific Data Curator job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Temporary. Highlights an 79% In-person, 2% Hybrid, and 19% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

Research Scientist - Data

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Sunnyvale, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
MBZUAI is a dedicated research lab focused on advancing AI research and development. As a Research Scientist in the Data team, you will curate high-quality data at web-scale to support the development of next-generation foundation models and collaborate with cross-functional teams to drive impactful AI discoveries.
Responsibilities:
• Pioneer web-scale data collection and curation methodologies for LLMs and multi-modal foundation models.
• Design and implement novel data synthesis pipelines for code, mathematics, and agentic reasoning datasets.
• Trace the impact of data from pre-training to final model capabilities and create automated quality assessment frameworks for massive datasets
• Design data recipes that maximize model capabilities across diverse domains.
• Optimize data-model co-design for improved training dynamics.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s AI research and innovation.
Qualifications:
Required:
• Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required.
• Experience working with large language models, including evaluation, fine-tuning, and prompt engineering.
• Strong Python development skills with a focus on research-grade code and scalable data pipelines.
• Familiarity with collecting and processing large-scale datasets from open-source and web resources.
• Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging).
• Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.
• Effective communication and collaboration skills for working in cross-functional teams.
Preferred:
• PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on LLMs and data is preferred.
• Prior research experience in areas such as web data curation and mixing, synthetizing complex datasets for training, LLM evaluation, post-training data, efficient inference, LLM-as-a-judge, tokenization.
• Strong publication record in leading AI conferences (e.g., NeurIPS, ICLR, ICML, EMNLP) and/or prior contributions to open-source AI research or data tools.
• Hands-on experience training language/multi-modal models from scratch.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.

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