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Remote Scientific Data Curator Jobs (NOW HIRING)

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

Scientific Data Analyst Clearance Required: Public Trust - Federal Client requires US Citizenship ... This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... data curation and synthetic data generation to model training, evaluation, and delivery. Our ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Rancho BioSciences

Business Development Manager

$125K - $150K/yr

About Rancho BioSciences, LLC Rancho BioSciences is a fully remote provider of biomedical data curation and data science services for pharma and biotech, spanning drug discovery through translational ...

The Pennsylvania State University

$100K - $132K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Serve as the primary point of contact between the data curation team and research scientists ...

AIS Inc

Data Scientist

Miami, FL · Remote

Support data curation and storage, including cloud-based data repositories * Assist with ... scientific conferences. Location: * Remote * Must be willing to relocate if needed. Contact: If you ...

AIS Inc

Data Scientist

Miami, FL · Remote

Support data curation and storage, including cloud-based data repositories * Assist with ... scientific conferences. Location: * Remote * Must be willing to relocate if needed. Contact: If you ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Strong skills in scientific data analyses, modeling, visualization and communication of results ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Strong skills in scientific data analyses, modeling, visualization and communication of results ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

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Remote Scientific Data Curator information

What is the difference between Remote Scientific Data Curator vs Remote Data Analyst?

AspectRemote Scientific Data CuratorRemote Data Analyst
CredentialsTypically requires a degree in science, data management, or related fieldUsually requires a degree in statistics, mathematics, or related field
Work EnvironmentOften in research institutions, labs, or scientific organizationsCommonly in business, finance, or tech companies
Industry UsageUsed in scientific research, academia, and healthcareUsed across various industries including finance, marketing, and tech
Search & Comparison IntentPeople compare to understand roles in scientific data managementPeople compare to distinguish data analysis responsibilities

The Remote Scientific Data Curator focuses on organizing, annotating, and maintaining scientific datasets, often within research or healthcare settings. In contrast, a Remote Data Analyst interprets data to generate insights for business decisions. While both roles handle data, their focus, industry, and required skills differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Scientific Data Curator, and why are they important?

To thrive as a Remote Scientific Data Curator, you need a strong background in biology, bioinformatics, or a related scientific field, often supported by an advanced degree. Familiarity with data management systems, database tools (like SQL), and sometimes programming languages such as Python or R is typically required. Attention to detail, strong organizational skills, and effective written communication are vital soft skills for ensuring data accuracy and collaborating remotely. These skills are crucial to maintain high-quality, accessible scientific data that supports research and discovery across the scientific community.

What are the main challenges Remote Scientific Data Curators face when ensuring data quality and consistency across distributed teams?

Remote Scientific Data Curators often work with large, complex datasets from multiple sources, making it challenging to maintain uniform data quality and consistency. Since teams are distributed, clear communication and standardized protocols are essential to prevent discrepancies and data entry errors. Regular virtual meetings and collaborative tools help keep everyone aligned, but curators must also be proactive in documenting changes and clarifying ambiguities to ensure data sets remain accurate and reliable for research and analysis.

What does a Remote Scientific Data Curator do?

A Remote Scientific Data Curator is responsible for organizing, managing, and maintaining scientific datasets to ensure their accuracy, accessibility, and usability. They work remotely with research teams to collect, annotate, and standardize data, making it easier for scientists and researchers to use and share information. Their tasks often include data cleaning, metadata creation, quality control, and ensuring compliance with data management standards and policies.
More about Remote Scientific Data Curator jobs
What cities are hiring for Remote Scientific Data Curator jobs? Cities with the most Remote 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 Remote Scientific Data Curator jobs? States with the most job openings for Remote Scientific Data Curator jobs include:
What job categories do people searching Remote Scientific Data Curator jobs look for? The top searched job categories for Remote Scientific Data Curator jobs are:
Remote Scientific Data Curator jobs near you
Infographic showing various Remote Scientific Data Curator job openings in the United States as of July 2026, with employment types broken down into 59% Full Time, 36% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.
AI Data Engineer - Scientific Data Platforms (Remote)

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Posted 13 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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