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Data Curator Jobs in Ohio (NOW HIRING)

Proactively consults and provides recommendations and direction on acquisition, curation, and consumption of data for analytical and operational uses, driving development and maintenance of reference ...

This will involve the collection, curation, annotation, enrichment, and validation of data and the development of taxonomies and other linguistic resources to help train machine learning models ...

Paid Internship

Cincinnati, OH · On-site

$15 - $18/hr

... data into the museum's collections management system, TMS (The Museum System). ESSENTIAL INTERNSHIP FUNCTIONS & RESPONSIBILITIES Reporting to the Curator of Decorative Arts & Design, internship ...

Metadata Management & Data Governance: • Oversee metadata ingestion, curation, and classification to enhance data discovery. • Work with data stewards and governance teams to enforce data ...

The position will work closely with Enterprise partners to determine and configure integrations between agency systems and enterprise data lake, data quality, and data curation platforms. This ...

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Data Curator information

See Ohio salary details

$24.2K

$69K

$113.6K

How much do data curator jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data curator in Ohio is $69,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $89,400.00 per year, depending on experience, location, and employer.

What does a Data Curator do?

A Data Curator is responsible for collecting, organizing, and maintaining datasets to ensure they are accurate, accessible, and usable for analysis. They work with data scientists, analysts, and other stakeholders to standardize metadata, establish data governance policies, and improve data quality. Data Curators often clean and enrich datasets, manage data repositories, and ensure compliance with regulatory standards. Their role is essential in making data more discoverable and valuable for decision-making and research.

What are the key skills and qualifications needed to thrive in the Data Curator position, and why are they important?

Success as a Data Curator requires strong analytical abilities, attention to detail, and a background in information management, data science, or a related field. Familiarity with data management tools, metadata standards (such as Dublin Core), and systems like relational databases and data repositories is highly advantageous, and certifications in data governance or data management can be beneficial. Excellent organizational skills, effective communication, and a collaborative mindset are key soft skills for this role. Mastery of these skills ensures data assets are accurately cataloged, accessible, and usable for stakeholders, supporting effective decision-making and research outcomes.

How to become a data curator?

To become a data curator, you typically need a bachelor's degree in information science, library science, computer science, or a related field. Developing skills in data management, metadata standards, and data curation tools such as Excel, SQL, or specialized software is essential, along with experience in data organization and quality control. Certifications in data management or related areas can enhance job prospects.

How much does a data curator make?

The average salary for a data curator typically ranges from $50,000 to $85,000 per year, depending on experience, education, and industry. Entry-level roles may start around $45,000, while experienced professionals with specialized skills in data management and metadata standards can earn higher salaries.

What qualifications do I need to be a curator?

A data curator typically needs a bachelor's degree in information science, library science, computer science, or a related field. Strong skills in data management, metadata standards, and familiarity with data curation tools are important, along with attention to detail and organizational abilities.

What does a data curator do?

A data curator is responsible for collecting, organizing, and maintaining data to ensure its quality, accuracy, and accessibility. They often use data management tools and follow standards to prepare data for analysis or sharing within organizations.

What does a typical day look like for a Data Curator, and who do they usually collaborate with?

A typical day for a Data Curator involves collecting, organizing, and annotating datasets, maintaining data integrity, and updating records to comply with quality standards. Data Curators frequently work alongside data analysts, researchers, and IT professionals to ensure data is properly structured and easily accessible for various projects. You may also interact with data stewards or subject matter experts to validate metadata or resolve inconsistencies. Collaboration and communication are integral to the role, as you help bridge technical teams and end users, ensuring that data systems meet the evolving needs of the organization.

What are the most commonly searched types of Data Curator jobs in Ohio? The most popular types of Data Curator jobs in Ohio are:
What cities in Ohio are hiring for Data Curator jobs? Cities in Ohio with the most Data Curator job openings:
Infographic showing various Data Curator job openings in Ohio as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $69,046 per year, or $33.2 per hour.
Part-Time Content Curator (Purdue or OSU area)

Part-Time Content Curator (Purdue or OSU area)

Genomenon

Columbus, OH • Hybrid

Part-time

Posted 5 days ago


Job description

Our Company

Genomenon is an AI-driven genetic intelligence company on a mission to save and improve lives by making biomedical information actionable. Rare diseases and cancer affect more than 30 million people in the U.S. alone and hundreds of millions globally, yet most patients still face long diagnostic journeys and limited treatment options. Our goal is clear and ambitious: to deliver the information that shapes diagnosis and treatment for every rare disease and cancer patient.

We sit at the intersection of AI, genomics, and real world evidence. Genomenon transforms the global scientific literature into a literature derived, real world evidence (RWE) engine for precision medicine—combining large-scale AI with expert human curation to deliver clean, clinically actionable datasets. This approach fills critical gaps left by EHR and claims data, especially in rare disease and oncology, by showing how patients actually present, progress, and respond to therapy.

We turn vast, complex biomedical data—spanning genomics, clinical evidence, and scientific literature—into trusted intelligence that helps clinicians make better diagnostic and therapeutic decisions, and supports life sciences organizations in bringing better therapies to market faster.

Our work has real, measurable impact. Genomenon's platforms and services are used by more than 250 clinical laboratories and pharma organizations worldwide to support diagnostic interpretation, variant curation, and evidence-based decision-making across the drug development lifecycle.

Each year, our technology helps inform care for tens of thousands of patients facing rare, complex, and time-sensitive conditions—reducing uncertainty and delivering answers when they matter most.

What makes Genomenon unique is our ability to support both clinical diagnostics and pharmaceutical innovation on a shared foundation of advanced AI, deep domain expertise, and rigorously curated data.

  • In the clinic, our solutions directly influence real world patient outcomes.
  • In pharma, we enable teams to harness literature derived RWE across clinical trial development, regulatory, and commercial workflows—turning fragmented biomedical knowledge into a strategic asset and emerging as the trusted data layer for genomic diagnostics and precision therapeutics.

If you're motivated by impact, energized by complexity, and excited to help shape the future of rare disease diagnosis and treatment, there's no better place to do that work.

Genomenon /ge.gno.mai.non/
Source language: ancient Greek
  1. Verb
    to come into being
    to be born out of need
  2. Noun
    the leader in genomic intelligence
Our Community

Genomenon team members are thoughtful, ambitious, and mission-driven professionals working across states and countries. Our team brings together scientists, clinicians, engineers, and commercial leaders who collaborate as equals and learn from one another every day.

We value curiosity, accountability, and people who thrive in fast-moving, high-impact environments.

We are guided by our core values:

  • Always Learning: Approach challenges with curiosity and a growth mindset
  • Data-Driven: Ask a lot of questions and look to the evidence for answers
  • Humbly Confident: Aware of the value that we and others bring to the team
  • Customer & Patient Driven: Put patients and customers first in everything we do
  • True Grit: Embody passion and persistence, and aren't afraid of hard work
About the Opportunity

Genomenon is seeking a reliable, self-motivated individual to support our data acquisition and database development efforts. This role is ideal for someone highly organized, comfortable working independently within a public university environment, and committed to delivering high-quality work on time.

The position reports to our Data Acquisitions Lead and requires regular travel to either Purdue or OSU and university library access is required.

This is a part-time, hourly role with flexible hours, ranging from 10 to 30 hours per week.

Key Responsibilities
  • Use proprietary internal tools to identify, collect, and organize content for database development
  • Maintain accurate and well-organized project records
  • Collaborate with the broader Genomenon team and provide additional support as needed to achieve team goals
Required Skills and Qualifications
  • Access to a local university library.
  • Strong organizational and time-management skills
  • High level of personal accountability and attention to detail
  • Working knowledge of Microsoft Excel
  • Demonstrated ability to manage responsibilities independently while contributing effectively within a team
  • Self-starter with a strong work ethic and a positive, solution-oriented mindset
Location and Schedule

Regular on-site work at a local public university is required. The position offers a flexible hybrid schedule of approximately 10 to 30 hours per week.

Our Commitment

Building a great company starts with building a diverse and inclusive team. We believe that people with different backgrounds, perspectives, and life experiences help us solve harder problems and build better solutions.

Genomenon is committed to inclusion across race, gender, age, religion, identity, disability, and background — in how we hire, how we work, and how we lead.

If you're excited about the role but unsure whether you meet every qualification, we encourage you to apply. We'd rather review one more resume than miss the chance to meet someone exceptional.