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Scientific Curator Remote Jobs in California (NOW HIRING)

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Demonstrated expertise in LLM evaluation methodology, including dataset curation, benchmarking, and ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Demonstrated expertise in LLM evaluation methodology, including dataset curation, benchmarking, and ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Partner with the Data Science team to architect intelligent routing logic that leverages Small ...

All JobsScientific Curator JobsScientific Curator Remote JobsScientific Curator Remote Jobs in California

Scientific Curator Remote information

What does a scientific curator do in a remote position?

A Scientific Curator working remotely is responsible for collecting, organizing, annotating, and maintaining scientific data or information in digital databases. They review and validate scientific literature, datasets, or biological information to ensure accuracy and usability for researchers. Remote Scientific Curators often collaborate with scientists and institutions via digital platforms to update and improve data resources, making scientific knowledge more accessible and reliable for the global research community.

How does a scientific curator typically collaborate with research teams and database developers in a remote position?

Remote scientific curators frequently collaborate with research teams and database developers through virtual meetings, project management tools, and shared documentation platforms. They are responsible for reviewing, annotating, and maintaining scientific data, so clear communication and timely feedback are essential. Curators often participate in regular video calls to discuss data standards, resolve discrepancies, and stay aligned with evolving project goals. Effective collaboration ensures data accuracy and consistency, even when working from different locations.

What are the key skills and qualifications needed to thrive as a scientific curator in a remote position, and why are they important?

To thrive as a Scientific Curator (Remote), you generally need a strong background in life sciences, data analysis, and database management, often supported by an advanced degree such as a Master's or PhD. Familiarity with bioinformatics tools, scientific databases, and data curation software is typically required, along with experience using systems like SQL or Python. Attention to detail, strong communication skills, and the ability to work independently are crucial soft skills in this remote role. These competencies ensure accurate data integration, effective collaboration with scientific teams, and the maintenance of high-quality scientific databases.

What are the most commonly searched types of Scientific Curator jobs in California?

The most popular types of Scientific Curator jobs in California are:

What are popular job titles related to Scientific Curator Remote jobs in California?

For Scientific Curator Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Scientific Curator Remote jobs in California look for?

The top searched job categories for Scientific Curator Remote jobs in California are:

What cities in California are hiring for Scientific Curator Remote jobs?

Cities in California with the most Scientific Curator Remote job openings:

Scientific Curator Remote jobs near you
Infographic showing various Scientific Curator Remote job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Re-posted 12 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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