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Computational Data Analytics Jobs in Ohio (NOW HIRING)

Nationwide Children's Hospital

Summary: Analyzes genomic data to identify and interpret genetic variations, providing insights ... S degree in Bioinformatics, Computational Biology, Biostatistics, or a related discipline ...

micro1 AI

Bioinformatics Software Engineer

Dayton, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Cheminformatics Specialist - Remote

Toledo, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Toledo, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Columbus, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Cheminformatics Specialist - Remote

Akron, OH · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Computational Data Analytics information

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$23

$52

$89

How much do computational data analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computational data analytics in Ohio is $52.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.94 per hour, depending on experience, location, and employer.

What is computational data analytics?

Computational data analytics is the process of using computational methods, algorithms, and systems to analyze large and complex datasets. This field combines principles from computer science, mathematics, and statistics to extract meaningful insights and patterns from data. Professionals in computational data analytics use tools such as machine learning, data mining, and statistical modeling to solve real-world problems in various industries. Their work often involves programming, data visualization, and working with big data platforms.

How does a computational data analyst typically collaborate with cross-functional teams to deliver data-driven insights?

Computational Data Analysts frequently work alongside professionals from various departments, such as engineering, product management, and business strategy. They gather requirements, clarify analysis goals, and present findings in clear, actionable terms. Regular meetings and collaborative tools are often used to ensure alignment, while analysts translate complex data patterns into practical recommendations that support decision-making across the organization. This teamwork not only enhances the impact of their analyses but also provides valuable opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as a computational data analytics professional, and why are they important?

To thrive as a Computational Data Analytics professional, you need strong quantitative skills, proficiency in statistics, and expertise in data manipulation, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of machine learning frameworks are commonly required. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively make candidates stand out. These skills enable professionals to extract actionable insights from complex datasets, drive informed decision-making, and add significant value to organizations.

What is the difference between Computational Data Analytics vs Data Scientist?

AspectComputational Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentData analysis teams, research labs, tech companiesData analysis teams, research labs, tech companies
Employer & Industry UsageTech, finance, healthcare, academiaTech, finance, healthcare, academia
Common Search & ComparisonYesYes

Computational Data Analytics focuses on developing algorithms and computational methods to analyze large datasets, often emphasizing programming and algorithm design. Data Scientists combine statistical analysis, machine learning, and domain expertise to interpret data and generate insights. While both roles require similar educational backgrounds and work environments, Computational Data Analytics leans more toward algorithm development, whereas Data Scientists focus on modeling and interpretation.

What are popular job titles related to Computational Data Analytics jobs in Ohio?

For Computational Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Computational Data Analytics jobs in Ohio look for?

The top searched job categories for Computational Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Computational Data Analytics jobs?

Cities in Ohio with the most Computational Data Analytics job openings:

Computational Data Analytics jobs near you
Infographic showing various Computational Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $108,259 per year, or $52 per hour.

Computer Engineer/Computer Scientist* (26.29)

SIERTEK LTD

Dayton, OH • On-site

$105K - $124K/yr

Full-time

Re-posted 7 days ago

Job description

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and service-disabled veteran-owned company, we serve as prime- and subcontractor for a multitude of Federal Department of Defense contracts. By focusing on continual improvement, our services remain at the forefront of our industry, and we pride ourselves on delivering our services with the highest degree of integrity.
SierTeK Ltd. is seeking a Computer Engineer/Computer Scientist to support an opportunity at Wright Patterson AFB, OH
Position Overview Section
We are seeking an experienced Computer Engineer / Computer Scientist to support the U.S. Air Force School of Aerospace Medicine (USAFSAM). This position provides technical leadership in the design, development, and deployment of advanced data analytics, decision support systems, and artificial intelligence solutions that enhance Air Force medical research, operational readiness, and force health protection.
The successful candidate will collaborate with software engineers, data scientists, operational analysts, database administrators, and subject matter experts to develop secure, scalable, and innovative analytical solutions across multiple accredited computing environments.
Essential Job Functions
  • Provide technical support to the FES Division Chief on software development and data analytics initiatives.
  • Review software code developed by operational analysts to ensure quality, maintainability, and compliance with development standards.
  • Lead and participate in technical planning meetings across USAFSAM and the Air Force Research Laboratory (AFRL).
  • Design, develop, test, and deploy decision support applications supporting aeromedical and operational medicine programs.
  • Develop project work plans and assist with software development program management activities.
  • Lead the development, enhancement, and maintenance of analytical software, databases, and computational models.
  • Identify technical risks, recommend corrective actions, and support successful project execution.
  • Design and maintain secure data pipelines across accredited Air Force computing environments.
  • Develop SQL-based data pipelines and Python analytics within the DAF Palantir Envision platform.
  • Support integration of Defense Health Agency (DHA) data using SAS Enterprise Guide within the Augmented Virtual Healthcare Environment (AVHE).
  • Collaborate with multidisciplinary teams to advance predictive models, analytics capabilities, and decision support tools.
  • Support the implementation, testing, and evaluation of artificial intelligence and machine learning frameworks.
  • Prepare software architecture documentation, system design documents, test plans, verification and validation documentation, deployment plans, and user guides.
  • Participate in Agile software development activities including sprint planning, code reviews, configuration management, and continuous improvement.

Minimum Position Requirements
  • Master's degree in:
    • Computer Science
    • Computer Engineering
    • Software Engineering
    • Systems Engineering
    • or a closely related technical discipline
  • Minimum 5 years of professional software development experience.
  • Experience developing applications in multiple programming environments, including:
    • Python
    • SQL
    • SAS Enterprise Guide
    • C++
    • MATLAB
    • Windows and Linux operating systems
  • Experience with systems engineering methodologies, including systems thinking and structured problem solving.
  • Experience using Agile software development methodologies and collaborative development tools.
  • Experience with software verification, validation, testing, and quality assurance.
  • Experience creating technical documentation, including:
    • Software Architecture Documents
    • System Design Documents
    • Use Cases
    • Test Plans
    • Verification & Validation Documentation
    • Deployment Guides
    • User Documentation
  • Experience working in a research or laboratory environment.
  • Strong written and verbal communication skills.
  • Ability to work independently and collaboratively in distributed development teams.
  • Experience with AI development, AI model training, and AI capability assessments.
  • Signed Non-Disclosure Agreement (NDA) prior to performance.

Highly Desired Qualifications
  • Strong programming experience in both Python and C++.
  • Experience with Model-Based Systems Engineering (MBSE).
  • Experience working with high-performance computing (HPC) environments.

SierTeK is an equal opportunity employer. Employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.
If you need assistance or accommodation due to a disability, you may contact us at 1+833.743.7835.
*This job posting is to identify potential candidates for positions in order to respond to a request for proposal. This job posting, including but not limited to, qualifications, duties, compensation and benefits, is subject to change based on the terms and conditions of the awarded contract and is contingent on SierTeK being awarded the contract.
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About Siertek

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Beavercreek, OH, US

Year founded

2007

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