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Entry Level Scientific Data Curator Jobs (NOW HIRING)

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

... scientific data. Key Responsibilities 1. Develop AI-enabled systems for large-scale data ... Developing agentic AI workflows to support data curation, quality control, documentation, and ...

Edison Scientific

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 ...

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 ...

TERRACON

Assistant Scientist

Saint Louis, MO · On-site

Support consistent quality standards on proposal and project delivery. * Entry level scientific professional responsible for gathering data and information to be evaluated by other team members.

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Entry Level Scientific Data Curator information

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$25.5K

$72.6K

$119.5K

How much do entry level scientific data curator jobs pay per year?

As of Jul 7, 2026, the average yearly pay for entry level 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 Entry Level Scientific Data Curator vs Entry Level Data Analyst?

AspectEntry Level Scientific Data CuratorEntry Level Data Analyst
Required CredentialsBachelor's in Science, Data Management, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch labs, scientific institutions, data repositoriesBusiness, finance, healthcare, or tech companies
Employer & Industry UsageAcademic, research, scientific organizationsCorporate, consulting, government agencies
Search & Comparison IntentUnderstanding roles in scientific data managementAnalyzing data for insights and reporting

While both roles involve working with data, the Entry Level Scientific Data Curator focuses on organizing and maintaining scientific datasets within research environments, whereas the Entry Level Data Analyst interprets data to generate insights for business decisions. The credentials, work settings, and industry usage overlap but serve different primary objectives.

More about Entry Level Scientific Data Curator jobs
What are the most commonly searched types of Scientific Data Curator jobs? The most popular types of Scientific Data Curator jobs are:
What job categories do people searching Entry Level Scientific Data Curator jobs look for? The top searched job categories for Entry Level Scientific Data Curator jobs are:
Entry Level Scientific Data Curator jobs near you
Infographic showing various Entry Level Scientific Data Curator job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 66% As Needed, 4% Full Time, 1% Part Time, 27% Nights, and 1% Summer. 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.
GD164 Technical Data Curator

GD164 Technical Data Curator

ADNET Systems, Inc.

Greenbelt, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

GD 164 Technical Data Curator
ADNET Systems, Inc. is seeking a motivated and technically skilled Technical Data Curator to support the GES DISC team at NASA Goddard Space Flight Center. In this role, you will bridge the gap between raw Earth science data and the scientists and users who depend on it. You will work hands-on with large-scale atmospheric, precipitation, and climate datasets - ensuring they are well-documented, properly formatted, quality-checked, and accessible in modern cloud environments.
A key aspect of this role is serving as a technical liaison between data providers - such as instrument teams, mission science teams, and field campaign investigators - and the GES DISC archive. You will translate scientific data deliveries into well-curated, standards-compliant, archive-ready products that serve a broad user community.
The ideal candidate has experience both producing and consuming Earth science data - someone who understands the pain points of a data user firsthand and can translate that empathy into better data products and services.
Key Responsibilities:
  • Data Ingest & Management: Receive, validate, and ingest Earth science data products into the GES DISC archive; ensure data integrity and compliance with metadata standards (e.g., CF Conventions, ACDD, ISO 19115, NASA UMM).
  • Cloud Data Stewardship: Manage and optimize data holdings in cloud environments (AWS S3); support and promote cloud-native data access patterns including direct S3 access and cloud-optimized formats such as Zarr and Cloud-Optimized GeoTIFF (COG).
  • Format Expertise: Work with common Earth science data formats including HDF4, HDF5, NetCDF-4, GeoTIFF, and others; validate and transform datasets as needed to meet archive standards.
  • Scripting & Automation: Develop and maintain scripts and pipelines to automate data processing, validation, transformation, and quality assurance workflows, primarily in Python; engage with and maintain legacy code in Perl, SQL, or other languages as needed.
  • Data Provider Liaison: Serve as a primary point of contact for data providers (e.g., instrument teams, mission science teams, field campaign investigators); communicate technical requirements for data format, metadata standards, and delivery protocols; collaborate with providers to resolve data quality issues prior to and following archive ingest.
  • User Support: Serve as a technical resource for data users; troubleshoot data access issues, respond to user inquiries, and advocate for user needs in tool and system improvements.
  • Collaboration: Coordinate with data providers, GES DISC platform engineers, NASA civil servants (at GES DISC and ESDIS), and the broader DAAC community to implement best practices and ensure consistency across the data archive.
  • Emerging Standards: Stay current with evolving data standards, formats, and community practices (e.g., STAC, OGC APIs, Zarr, cloud-optimized formats).

Required Qualifications:
  • Bachelor's degree or higher in Earth Science, Atmospheric Science, Computer Science, Geography, Information Science, or a related field (or equivalent professional experience)
  • Strong Python programming skills, including experience with Earth science libraries such as xarray, netCDF4, h5py, numpy, pandas, or similar
  • Demonstrated hands-on experience working with gridded (Level 3) and swath (Level 2) data in HDF4/5 and/or NetCDF formats
  • Familiarity with cloud computing platforms (AWS preferred) and cloud storage concepts (e.g., object storage, cloud-optimized data access)
  • Strong interpersonal and communication skills, with demonstrated ability to work effectively with external stakeholders such as data providers, science teams, or mission teams
  • Strong attention to detail and commitment to data quality
  • Effective written and verbal communication skills; ability to produce clear technical documentation
  • Knowledge of version control systems (e.g., Git/GitHub)
  • US Citizenship required.
  • Ability to obtain and maintain a Tier 1 Investigation through NASA.
Preferred Qualifications:
  • Experience working with or within a NASA DAAC or similar data repository (e.g., NSIDC, ORNL, ASDC, PO.DAAC)
  • Experience as a data user - i.e., has worked with Earth science datasets in a research, operational, or analytical context and understands common user workflows and pain points
  • Prior experience acting as a technical point of contact or liaison for data providers or external science teams
  • Familiarity with GES DISC data holdings or tools such as Giovanni, Earthdata Search, and OPeNDAP
  • Familiarity with atmospheric science, precipitation, hydrology, or climate data and the communities that use them
  • Knowledge of metadata standards such as CF Conventions, ACDD, ISO 19115, or NASA's Unified Metadata Model (UMM)
  • Experience with cloud-optimized formats (Zarr, COG, STAC)
  • Experience with database management and SQL query writing
  • Familiarity with data access protocols such as OPeNDAP, THREDDS, or Earthdata APIs
  • Experience with containerization tools (e.g., Docker)
  • Contributions to open-source Earth science software or data communities

Team ADNET brings over 30 years of experience to information systems and professional services for the federal government. With a history of expertise in software development, computer network design, IT security, mission operations support, and educational outreach, Team ADNET is deeply embedded in the Space and Earth Science at NASA's Goddard Space Flight Center (GSFC) in Greenbelt, MD.
ADNET Systems, Inc. is working with Goddard Space Flight Center to fulfill NASA's vision for space exploration, and working with the Science and Exploration Directorate to fulfill its many missions.
ADNET Systems, Inc. is an employee-centric company, committed to providing premier benefits that support our employees and their families. With affordable medical and dental plans coupled with leading disability and life insurance options, ADNET offers our employees the benefits most sought after by today's professional candidate. Furthermore, our benefits package features the extras that distinguish us from other small businesses, ensuring our high employee retention that our customers appreciate.
Some features of our compensation plans and environment perks include:
  • Annual Leave/Sick Leave
  • Military and Family Emergency Leave
  • Paid Holidays
  • Performance Bonuses
  • Medical, Dental and Vision Plans
  • Direct Deposit Payroll
  • 401K Plan with Company Matching
  • Tuition Reimbursement
  • Swag bags

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