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Entry Level Scientific Data Curator Jobs (NOW HIRING)

Edison Scientific

Scientific Evals

San Francisco, CA · On-site

Edison Scientific builds and commercializes AI agents for science, and they are seeking an ... data curation, and machine learning. Responsibilities : • Design benchmarks that capture the ...

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 ...

Edison Scientific

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 ...

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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All JobsEntry Level Scientific Data Curator Jobs

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 Jun 10, 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 June 2026, with employment types broken down into 5% As Needed, 81% Part Time, and 14% Contract. 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.

Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings

Lila Sciences

Cambridge, MA

Other

Posted 6 days ago

Job description

Your Impact at LILA

We're hiring a Machine Learning Scientist to advance multimodal reasoning with visionlanguage models (VLMs) on real-world scientific data including, but not limited to: figures and plots, microscopy data from diverse sources. You'll design and build stateoftheart methods to advance the state of Scientific Superintelligence.

What You'll Be Building

  • Lead research on multimodal reasoning systems that interpret scientific data (images, plots, text, etc) using stateoftheart and custom VLMs.
  • Design training, adaptation and test-time methods and strategies (e.g., instruction tuning, supervised learning, RLHF, RAG) for scientific understanding tasks.
  • Build datasets and benchmarks from real scientific artifacts (e.g., microscopy, spectra, protocols) to understand model performance.
  • Develop perception modules (e.g, OCR, table/structure recognition, plot parsing) for multi-modal data modalities.
  • Collaborate with domain scientists and engineers to scale research into production ready systems for scientific superintelligence.

What You'll Need to Succeed

  • Advanced degree in a relevant field (CS/AI, Applied Math/Stats, EE) or a physicalsciences discipline (Materials, Chemistry, Physics) with strong ML focus; or equivalent research/industry experience.
  • Track record in multimodal ML or VLMs demonstrated via shipped systems, publications, or opensource.
  • Understanding of scientific QA/benchmarks and custom evaluation design.
  • Experience with multi-modal fine-tuning, document parsing & understanding, dataset curation and benchmarking.
  • Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface).
  • Clear communication and collaboration in crossfunctional settings.

Bonus Points For

  • Experience with scientific data modalities in real-world laboratories such as microscopy images.
  • Publications in top ML/CV/NLP venues or tangible impact in applied industrial research.
  • Contributions to opensource multimodal tooling, evaluation suites, or datasets.

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