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Senior Scientific Data Curator Jobs (NOW HIRING)

IntelliPro

Research Scientist, Data

Palo Alto, CA · On-site

Research Scientist, Data Position Type: Permanent (Full-Time) Location: Palo Alto, CA (On-site ... Strong background in data engineering and ML data curation for LLMs, VLMs, or large-scale ...

Datavant

Director, Scientific Data Insights

New York, NY

$180K - $200K/yr

... Scientific Data Insights you will be a key team leader responsible for leading client-facing ... Strong written and verbal communications, including with senior executives and customers * Travel ...

New

Datavant

Director, Scientific Data Insights

Boston, MA

$180K - $200K/yr

... Scientific Data Insights you will be a key team leader responsible for leading client-facing ... Strong written and verbal communications, including with senior executives and customers * Travel ...

New

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... data curation and synthetic data generation to model training, evaluation, and delivery. Our ... This position requires a mid-to-senior level of experience, a passion for mission support, and a ...

Qiagen

Senior Scientific Expert IVD

Germantown, MD

$82K - $137K/yr

The Senior Scientific Expert will join the QIAGEN Germantown R&D Team in research and development ... Strong background in data analysis * Strong capability to work in a collaborative team environment

Houston Methodist

At Houston Methodist, the Senior Scientific Writer is responsible for functioning as the mentor for ... Interprets data and advises faculty as how to best present data considering scientific ...

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and analysis of complex, multi-system healthcare datasets-including EHR and claims data-powering our clinical ...

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Senior Scientific Data Curator information

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$25K

$80.3K

$163.5K

How much do senior scientific data curator jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior scientific data curator in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Scientific Data CuratorScientific Data Analyst
CredentialsTypically requires advanced degrees in science or data management, certifications in data curation or bioinformaticsUsually holds degrees in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentWorks in research institutions, museums, or biotech companies focusing on data organization and preservationWorks in labs, research firms, or industry settings analyzing data for insights and reporting
Employer & Industry UsageCommonly employed by research institutions, universities, and biotech firmsFound in healthcare, finance, marketing, and scientific research sectors

The main difference is that Senior Scientific Data Curators focus on organizing, maintaining, and ensuring the quality of scientific data, while Scientific Data Analysts primarily analyze data to generate insights. Both roles require strong data skills but serve different functions within the research and data lifecycle.

What cities are hiring for Senior Scientific Data Curator jobs? Cities with the most Senior 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 Senior Scientific Data Curator jobs? States with the most job openings for Senior Scientific Data Curator jobs include:
Senior Scientific Data Curator jobs near you

AI Data Engineer - Scientific Data Platforms (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $38/hr

Full-time

Re-posted 24 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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