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Statistical Engineer Jobs in Ohio (NOW HIRING)

Medpace, Inc.

Statistical Analyst I

Cincinnati, OH · On-site

SAS and / or statistical programming experience; * Knowledge of databases and data management process; and * Knowledge of statistical methods commonly used in pharmaceutical clinical trials. Travel:

Medpace, Inc.

Statistical Analyst I

Cincinnati, OH · On-site +1

SAS and / or statistical programming experience; * Knowledge of databases and data management process; and * Knowledge of statistical methods commonly used in pharmaceutical clinical trials. Travel:

Cytel

Solid SAS programming skills, including QC of critical outputs, efficacy and safety tables, and close collaboration with Statistical Programmers. * Strong knowledge of ICH guidelines and regulatory ...

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All JobsStatistical Engineer JobsStatistical Engineer Jobs in Ohio

Statistical Engineer information

See Ohio salary details

$31.4K

$89.4K

$138.3K

How much do statistical engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical engineer in Ohio is $89,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $103,200.00 per year, depending on experience, location, and employer.

What is a statistical engineer?

Statistical Engineers are professionals who apply statistical methods and techniques to solve engineering and production-related problems. They analyze data, design experiments, and develop models to optimize processes, improve product quality, and support decision-making in various industries. Their work often involves collaborating with engineers, scientists, and business teams to interpret data and implement solutions that enhance efficiency and reliability.

What are the key skills and qualifications needed to thrive as a statistical engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong skills in statistical analysis, mathematics, and data interpretation, usually backed by a degree in statistics, engineering, or a related field. Familiarity with statistical software (such as R, SAS, or Python), data visualization tools, and knowledge of quality control systems are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data-driven decision-making and process optimization, which are vital for organizational success.

How does a statistical engineer typically collaborate with cross-functional teams in a project-driven environment?

Statistical Engineers often work closely with professionals from diverse fields such as data science, software engineering, quality assurance, and business analytics. In a project-driven environment, they are responsible for designing experiments, analyzing large datasets, and interpreting results to inform decision-making. Collaboration usually involves participating in regular meetings, communicating complex statistical findings in an accessible way, and ensuring that analytical methods align with the team's objectives. This cross-functional teamwork not only enhances project outcomes but also helps Statistical Engineers develop broader professional skills and a deeper understanding of the organization's operations.

What is the difference between Statistical Engineer vs Data Scientist?

AspectStatistical EngineerData Scientist
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related field; often some programming skillsBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentFocus on developing and optimizing statistical models, often in engineering or manufacturing settingsAnalyze large datasets, build predictive models, and communicate insights across various industries
Employer & Industry UsageUsed in manufacturing, engineering, and technology sectors for process improvementCommon in tech, finance, healthcare, and marketing for data analysis and modeling

While both roles require strong statistical knowledge and programming skills, Statistical Engineers primarily focus on developing and implementing statistical models within engineering contexts. Data Scientists tend to work more broadly on analyzing data, building predictive models, and deriving insights across diverse industries.

How much do statistical engineers make?

Statistical engineers typically earn a median annual salary between $80,000 and $120,000, depending on experience, education, and location. They often work with data analysis, programming languages like Python or R, and statistical tools to support data-driven decision-making in organizations.

What are popular job titles related to Statistical Engineer jobs in Ohio?

For Statistical Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Statistical Engineer jobs in Ohio look for?

The top searched job categories for Statistical Engineer jobs in Ohio are:

Statistical Engineer jobs near you
Infographic showing various Statistical Engineer job openings in Ohio as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $89,394 per year, or $43 per hour.

Principal Statistical Programmer

Neshent Technologies

Anderson Township, OH • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an experienced Principal Statistical Programmer to lead statistical programming activities for clinical development programs. The ideal candidate will have strong expertise in SAS programming, CDISC standards, ADaM datasets, TLF development, regulatory submissions, and clinical trial data analysis. This role will provide technical leadership, mentor statistical programmers, and collaborate with cross-functional clinical teams.

Required Skills & Experience
  • Experience leading a team of statistical programmers supporting clinical development programs.
  • Strong proficiency in SAS programming for developing and validating:
    • ADaM datasets
    • Tables, Listings, and Figures (TLFs)
    • Statistical analyses
  • Good knowledge of R programming and other statistical programming languages preferred.
  • Strong understanding of SAS programming concepts and the clinical study lifecycle.
  • In-depth knowledge of CDISC standards (SDTM/ADaM) and regulatory requirements.
  • Experience supporting regulatory filings and submission documentation.
  • Experience working in therapeutic areas such as Oncology, Immunology, Neuroscience, or similar domains.
  • Strong communication and collaboration skills with cross-functional teams.
  • Ability to estimate project programming efforts and manage competing priorities.
Roles and Responsibilities
  • Lead statistical programming activities for assigned compounds, indications, or therapeutic areas.
  • Manage and mentor statistical programmers, analysts, and senior analysts.
  • Plan resources, track deliverables, and ensure timely completion of programming activities.
  • Develop and oversee SAS programs for ADaM dataset creation following CDISC standards.
  • Develop and review SAS programs for Tables, Listings, and Figures (TLFs).
  • Ensure consistency and quality of ADaM datasets across individual studies and integrated analyses.
  • Support regulatory submissions by preparing documentation such as reviewer guides and data definition documents.
  • Develop standard SAS macros, programming standards, and operating procedures.
  • Ensure compliance with quality processes and clinical programming best practices.
  • Collaborate with Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing, and Clinical Operations teams.
Preferred Qualifications
  • Experience in pharmaceutical, biotechnology, or clinical research environments.
  • Strong knowledge of clinical trial programming and regulatory submission processes.
  • Excellent leadership, problem-solving, and organizational skills.
  • Ability to work effectively in a dynamic, deadline-driven environment.

Apply