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Scientific Data Curator Jobs (NOW HIRING)

Staff Data Scientist

San Francisco, CA · On-site

$220 - $280/hr

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 ...

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 ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ...

Clinical Data Manager

New York, NY · On-site

$115K - $145K/yr

Collaborate with a cross-functional team including technical (e.g., software engineering, data science), client solutions, and research scientists to ensure data curation process meets customer needs ...

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 ...

Showing results 21-40

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 Aug 17, 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?

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:

Infographic showing various Scientific Data Curator job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 85% In-person, 3% Hybrid, and 12% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Re-posted 3 days ago


Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is a leading global biotechnology and pharmaceutical organization driven by a mission to innovate, continuously advance science, and ensure everyone has access to the healthcare they need.
Title: AI Data Engineer - Scientific Data Platforms
Location: Remote, Must work PST
Pay rate: $35-38/hr (Depends on experience level)
Schedule: Full-time (40 hours/week)
Duration: 1-year contract, (Plus benefits)
Position Overview
This role addresses a critical need in scaling our AI models for drug discovery by building largely automated, scalable, agent-driven data ingestion and curation pipelines for genomics data. This includes metadata inference, constructing performant query architectures, and transforming high-dimensional datasets (e.g., single-cell omics, clinical trials) into AI-ready training formats.
Key Responsibilities
  • Build an agentic data ingestion pipeline and move beyond bespoke steps toward agents that teams can reliably use as a shared, deployed service.
  • Triage and prioritize incoming requests to ingest specific datasets. Clean and organize data, building the first-pass cleaning and organization steps into the agentic flow.
  • Validate cross-modal linkage. Add automated checks that catch when ingested data does not connect correctly and flag low-quality or mismatched records.
  • Version every dataset, retaining and making prior versions addressable. Preserve raw data and provenance, ensuring agent workflows log validation and transformation steps so lineage is fully traceable.
  • Partner with AI, software engineering, and computational biology groups to co-define data standards and conventions.

Qualifications & Requirements
  • Demonstrated experience building multi-agent workflows or LLM workflows using tools/frameworks such as LangGraph or LlamaIndex, including tool/function calling and asynchronous task execution.
  • Strong Python skills for data manipulation, working with APIs and databases, and handling heterogeneous data formats.
  • Familiarity with dataset versioning approaches (e.g., DVC, lakeFS, or equivalent).
  • Comfortable with or showing a strong willingness to learn common omics data formats like AnnData, H5AD, and TileDB.
  • No deep bioinformatics expertise required; just a basic conceptual understanding of different modalities (e.g., RNA-seq vs. scRNA-seq vs. WES; genomics vs. transcriptomics vs. proteomics vs. metabolomics).
  • Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducible.
  • Degree in a technical field or equivalent practical experience.
  • Must be Authorized to work in the United States without Sponsorship.
Nice to Have
  • Experience deploying agent workflows as a shared service (e.g., FastAPI or MCP endpoints).
  • Exposure to cloud platforms (AWS, GCP) and containerization (Docker).
  • Familiarity with scientific workflow managers such as Nextflow or Snakemake.

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