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Statistical Engineering Jobs in Cleveland, OH (NOW HIRING)

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Sr Biostatistician

Akron, OH · On-site

$56.48 - $84.03/hr

Serves as expert with advanced knowledge in statistical programming and provides input on study design selection, data collection, data interpretation, sample size and power calculation. Also ...

Senior Analyst* (26.23)

Bath, OH · On-site

$90 - $130/hr

Statistical Programming * Develop statistical programs and perform data analysis using: * SAS * SAS Enterprise Guide * Microsoft Office Suite * Adobe Acrobat * Utilize or rapidly learn emerging ...

Epidemiologist* (26.23)

Bath, OH · On-site

$95 - $130/hr

Statistical Programming & Analytics * Perform statistical analyses using SAS and SAS Enterprise Guide. * Create analytical datasets and maintain data files supporting epidemiological studies. * Apply ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

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Statistical Engineering information

See Cleveland, OH salary details

$59.4K

$69.6K

$77.7K

How much do statistical engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for statistical engineering in Cleveland, OH is $69,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $74,300.00 per year, depending on experience, location, and employer.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

How does a statistical engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

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 quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What are popular job titles related to Statistical Engineering jobs in Cleveland, OH?

For Statistical Engineering jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Cleveland, OH look for?

The top searched job categories for Statistical Engineering jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Statistical Engineering jobs?

Cities near Cleveland, OH with the most Statistical Engineering job openings:

Infographic showing various Statistical Engineering job openings in Cleveland, OH as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, 5% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $69,632 per year, or $33.5 per hour.

Statistical Programmer I - Boyer Research Program

Cleveland Clinic

Cleveland, OH • On-site

$87K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Key responsibilities

  • Collaborate with investigators, biostatisticians, and project teams to support data collection, database development, data management, programming, and statistical analysis.

  • Design and implement standard and customized programs for data analysis and visualization using tools such as SAS, R, S-PLUS, and Stata.

  • Develop, test, and maintain code for emerging statistical techniques and interpret biostatistics, epidemiological, or research results with supervision.


Cleveland Clinic rating

7.2

Company rating: 7.2 out of 10

Based on 915 frontline employees who took The Breakroom Quiz

345th of 898 rated healthcare providers


Job description

Join Cleveland Clinic's Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world class and caregivers are family. Here, you will work alongside a passionate and dedicated team, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world.

As a Statistical Programmer for the Boyer Research Program, you will collaborate with investigators, biostatisticians, and project teams to support data collection, database development, data management, programming, and statistical analysis. You will design and implement standard and customized programs for data analysis and visualization using tools such as SAS, R, S-PLUS, and Stata, while developing and maintaining code for emerging statistical techniques. This role requires the ability to work across multiple projects and apply foundational knowledge in biostatistics, epidemiology, and research data management.

Read more about the Boyer Research Program: https://www.lerner.ccf.org/quantitative-health/boyer/

A caregiver in this role works days from 9:00 a.m. - 5:00 p.m.

A caregiver who excels in this role will:

  • Work effectively as part of a project team (which may include an investigator, biostatistician and programmer) providing expertise related to data collection, database development, data management, programming, statistical analysis and presentation of data.

  • Design and apply standard computer programs for statistical data collection, analysis, evaluation and graphical presentation.

  • Create customized computer programs for general use and specific projects utilizing statistical applications (e.g. SAS, R/ S-PLUS, Stata) in a PC and/or mainframe environment.

  • Develop and maintain code for emerging statistical techniques in one or more of these languages.

  • Demonstrate ability in areas of biostatistics, epidemiology and general research and/or database management while working on several projects, or several aspects of one project.

  • Conduct data management.

  • Assemble data from multiple sources, resolve data problems and perform general data management tasks, including data integrity checks, query reports, and case selections using data control, definition and manipulations with considerable supervision and/or mentoring.

  • Demonstrate nominal ability to work with data from multiple platforms.

  • Begin to understand the statistical analysis implications of case report forms design and database design.

  • Develop, write, document and test basic statistical programs given the parameters and/or someone's sample code.

  • Review, receive and cross-check code from a more senior individual.

  • Demonstrate basic ability to interpret biostatistics, epidemiological or general research results with considerable supervision and/or mentoring.

  • Effectively communicate both verbally and in writing to other team members.

  • Review and revise data from outside communications.

Minimum qualifications for the ideal future caregiver include:

  • Masters in computer science, statistics, epidemiology, or related field.

  • OR BS in related field with three to five years of experience

  • Ability in data management and to draft basic statistical programs

  • Experience in the use of standard statistical packages

  • Knowledge of SAS or S-PLUS/R

  • Understanding of basic medical terminology

  • Ability to interpret biostatistics, epidemiological or general research results

  • Organization and time management skills

  • Fluent in English, sound writing skills, and ability to clearly communicate information both orally and in writing

Preferred qualifications for the ideal future caregiver include:

  • Knowledge of SQL, Oracle or other relational databases

  • Prior experience in a health care research environment

Physical Requirements:

  • Ability to perform work in a stationary position for extended periods.

  • Ability to travel throughout the hospital system.

  • Ability to operate a computer and other office equipment.

  • Ability to communicate and exchange accurate information.

Personal Protective Equipment:

  • Follows Standard Precautions using personal protective equipment as required.

Pay Range

Minimum Annual Salary: $57,510.00

Maximum Annual Salary: $87,697.50

The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate's actual compensation will be determined after taking factors into consideration such as the candidate's work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic's benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).


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