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Data Curation Jobs in Ohio (NOW HIRING)

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

Contribute to the refinement of data curation methodologies and best practices in computational biology. Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

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 Curation information

See Ohio salary details

$9

$40

$65

How much do data curation jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data curation in Ohio is $40.97, according to ZipRecruiter salary data. Most workers in this role earn between $27.25 and $53.84 per hour, depending on experience, location, and employer.

What is a data curation?

A Data Curation job involves collecting, organizing, maintaining, and ensuring the quality of data for accuracy and accessibility. Data curators clean and structure datasets, manage metadata, and ensure compliance with data governance standards. They work closely with data scientists, analysts, and engineers to support data-driven decision-making. This role is essential in industries like research, healthcare, finance, and technology, where high-quality data is crucial for insights and innovation.

What are the key skills and qualifications needed to thrive in data curation, and why are they important?

To excel in Data Curation, you need a strong background in data management, information science, and database technologies, often supported by a degree in a related field. Familiarity with data wrangling tools, metadata standards, programming languages (such as Python or R), and data management systems is highly valuable. Attention to detail, analytical thinking, and collaborative communication are standout soft skills in this position. These abilities ensure data integrity, usability, and accessibility, which are essential for supporting robust decision-making and research outcomes.

What are some typical challenges faced by professionals in data curation roles?

Professionals in Data Curation often manage large, complex datasets from diverse sources, which can present challenges in ensuring consistency, accuracy, and proper documentation. They may encounter incomplete or poorly formatted data that requires significant cleaning and standardization. Collaborating with researchers, data engineers, and subject matter experts is common to clarify requirements and maintain data integrity. Staying current with evolving data standards and technologies is also key to success, making adaptability important in daily work.

How do you become a data curator?

To become a data curator, you typically need a bachelor's degree in a related field such as information science, computer science, or data management. Gaining experience with data organization, metadata standards, and tools like database management systems or data cleaning software is important, along with developing strong analytical and attention-to-detail skills.

Is a data curator a good job?

A data curator manages and organizes data sets to ensure quality, consistency, and accessibility, often using tools like databases and data management software. It is a growing field with opportunities in industries such as healthcare, finance, and technology, and typically requires strong attention to detail and knowledge of data standards. The role can offer stable employment and the chance to develop specialized skills in data management.

What does a data curator do?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or repository. They select relevant data, apply standards for consistency, and often use tools like data management software to prepare data for analysis or sharing.

What are the most commonly searched types of Data Curation jobs in Ohio?

The most popular types of Data Curation jobs in Ohio are:

What cities in Ohio are hiring for Data Curation jobs?

Cities in Ohio with the most Data Curation job openings:

Infographic showing various Data Curation job openings in Ohio as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $85,224 per year, or $41 per hour.

$60K - $77K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Case Western Reserve University rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

33rd of 620 rated colleges and universities


Job description

Case Western Reserve University is committed to providing a transparent estimate of the salary range available for this position at the time of its posting. The salary range is between $60,906 and $77,047, depending on qualifications, experience, department budgets, and industry data.
Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.
Job Description
POSITION OBJECTIVE
Working under general supervision, the Data Science Researcher will support the Department of Materials Science and Engineering and the Solar Durability and Lifetime Extension Research Center by planning and conducting data-driven research activities related to materials durability, degradation science, and environmentally exposed technologies. This role will develop data analysis pipelines, perform statistical analysis, manage complex data structures and contribute to technical reports, progress summaries, and scientific manuscripts for submission to academic journals and conference proceedings. This is a one-year term-funded position expected to continue for one year contingent on project needs, funding availability, and satisfactory performance.
ESSENTIAL FUNCTIONS
  1. Conduct data science research to support Solar Durability and Lifetime Extension Research Center projects in materials durability, degradation science, and environmentally exposed technologies; develop and maintain data analysis pipelines, perform statistical and computational analyses, manage and create complex datasets, and present data using advanced statistical programming languages such as R and Python. (70%)
  2. Coordinate research activities with faculty, staff, and student researchers to support timely completion of project goals; track progress against project milestones, maintain research documentation, participate in project planning and team meetings, and assist with implementation planning efforts for events, workshops, symposia, or other programmatic requirements to implement research initiatives. (20%)
  3. Prepare and support dissemination of research products by conducting literature reviews, summarizing technical findings, contributing to technical reports, progress updates, presentations, posters, conference proceedings, and draft manuscripts, and ensuring research outputs are reviewed, documented, and released in accordance with project requirements and award guidelines (9%)

NONESSENTIAL FUNCTIONS
Perform other duties as assigned. (1%)
CONTACTS
Department: Solar Durability and Lifetime Extension Research Center Faculty Director and associated faculty members, Solar Durability and Lifetime Extension Research Center staff, postdoctoral scholars
University: Great Lakes Energy Institute staff, Materials Science and Engineering faculty and staff, limited contact with other university leadership, staff, and faculty as needed.
External: Research collaborators at partner Universities, National Laboratories, and Industry
Students: Graduate and undergraduate students, high school students participating in research.
SUPERVISORY RESPONSIBILITIES
No direct supervisory responsibility. May provide task direction, training, and project coordination for student researchers or other project personnel participating in supported research activities.
QUALIFICATIONS
Education and Experience: Bachelor's degree in statistics, data science, materials science, engineering, or a related quantitative field required and 2 to 3 years or a Master's degree in statistics, data science, materials science, engineering, or a related quantitative field required and 0 years of experience required. Prior experience in research data analysis, statistical modeling (such as applied regression, longitudinal data analysis, and experimental designs), data curation, and database management are highly preferred.
REQUIRED SKILLS
  1. Understanding of common practice and procedures within the field of data science and statistical analysis.
  2. High proficiency in statistical programming languages, specifically R and SAS, and advanced usage of Google and Office Suite products.
  3. Strong attention to detail and ability to maintain accurate and reliable data recording, data curation, project administration, and note-taking
  4. Strong organizational and time management skills.
  5. Excellent oral and written communication skills with a proven track record in scientific writing and research presentation.
  6. Ability to manage multiple tasks, prioritize tasks, and meet strict project deadlines.
  7. Excellent interpersonal skills and the ability to work closely with colleagues and lead multi-disciplinary research teams.
  8. Ability to interpret, summarize, and communicate quantitative findings to research collaborators.
  9. Willingness and ability to learn new techniques, machine learning tools, and materials data science procedures as needed.
  10. Ability to demonstrate successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
  11. Ability to meet consistent attendance.
  12. Ability to interact with colleagues, supervisors, and customers face to face.

WORKING CONDITIONS
General laboratory and office environments. This position may have contact with or exposure to computing clusters, environmental exposure chambers, characterization tools, or other specialized laboratory equipment. If laboratory safety training, personal protective equipment (PPE) including gloves, lab coat and protective eyewear is required, it will be provided where applicable. Limited travel to academic conferences and site visits.
EEO Statement
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.
Reasonable Accommodations
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicants will be made on a case-by-case basis.
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