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Statistical Engineer Jobs in Ohio (NOW HIRING)

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:

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:

... engineering, data analysis, laboratory operations, nuclear operations, or another technical environment * Foundational understanding of statistical concepts such as variance analysis, sampling plans ...

... engineering, data analysis, laboratory operations, nuclear operations, or another technical environment * Foundational understanding of statistical concepts such as variance analysis, sampling plans ...

... engineering, data analysis, laboratory operations, nuclear operations, or another technical environment * Foundational understanding of statistical concepts such as variance analysis, sampling plans ...

... engineering, data analysis, laboratory operations, nuclear operations, or another technical environment * Foundational understanding of statistical concepts such as variance analysis, sampling plans ...

Principal Biostatistician - FSP

Toronto, OH · On-site +1

$115K - $130K/yr

In this role you will develop and review Statistical Analysis Plans for data presentation, analyses, and provide programming support to your multidisciplinary global project team. About the team You ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

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

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

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

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Showing results 1-20

Statistical Engineer information

See Ohio salary details

$31.4K

$89.4K

$138.3K

How much do statistical engineer jobs pay per year?

As of Jun 20, 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 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.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, software, or aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced degrees, or obtaining professional certifications.

What are Statistical Engineers?

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 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.

Is AI replacing statisticians?

Statistical engineers and statisticians use AI and machine learning tools to analyze data and develop models, but AI is not replacing these roles. Instead, AI enhances their capabilities, requiring professionals to have skills in programming, data analysis, and understanding AI algorithms to interpret and implement AI-driven solutions effectively.

What does a Statistical Engineer do?

A Statistical Engineer designs and applies statistical models and data analysis techniques to solve complex problems, often working with large datasets and programming tools like R or Python. They develop algorithms, optimize processes, and ensure data quality to support decision-making in engineering or manufacturing environments.

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 engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can reach or exceed $500,000 annually, especially with bonuses, stock options, or in high-cost-of-living areas. These roles often require advanced skills, extensive experience, and sometimes professional certifications or advanced degrees.
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:
Infographic showing various Statistical Engineer job openings in Ohio as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,394 per year, or $43 per hour.

Biostatistical Prograrmming Manager

Amgen

Columbus, OH

Full-time

Posted 5 days ago


Job description

Career CategoryClinicalJob Description

Biostatistical Programming Manager

What you will do

Let's do this. Let's change the world. In this vital role you will provide both strategic oversight and hands-on statistical programming support to enable high-quality and timely clinical trial deliverables.

This role is part of the centrally managed Quality and Quick Response (QQR) Programming team and is responsible for supporting urgent and high-priority programming needs across development programs. The manager will serve as a technical programming expert who can rapidly respond to internal and external requests, support special projects, provide global quality oversight, and contribute directly to programming deliverables when needed.

This role will primarily support programs within the Obesity Therapeutic Area and requires close collaboration with cross-functional teams to support fast-paced development activities and evolving business priorities.

Responsibilities

Provide rapid response statistical programming support for urgent internal and external requests

Serve as a lead programmer for studies and projects, such as Data Access Plan (DAP) activities, unblinding efforts, and special projects

Deliver hands-on programming support for SDTM, ADaM, Tables, Listings, and Figures (TFLs), and other study and regulatory submission deliverables as needed

Oversee the execution and quality of projects managed by our FSP partners per Amgen Global Statistical Programming (GSP) Quality Oversight Plan (QOP)

Ensure that FSP and in-house programming deliverables meet quality, compliance, timeline, and productivity expectations

Mitigate at-risk projects by providing technical expertise, programming support, and operational guidance

Contribute to training material development and delivery to internal teams and FSP partners

Provide guidance and technical consultancy to study programming team on Amgen processes, tools, and utilities

Lead/contribute to GSP continuous improvement iniatives and support cross-functional initiatives including inspection readiness, process improvement, innovation, and training activities

Contribute to programming team performance metrics development, data collection, and reporting

Review project documentation such as specifications, issue logs, deliverable status for accuracy and completeness

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a manager with these qualifications.

Basic Qualifications:

Doctorate degree OR

Master's degree and 2 years of statistical programming experience OR

Bachelor's degree and 4 years of statistical programming experience OR

Associate's degree and 8 years of statistical programming experience OR

High school diploma / GED and 10 years of statistical programming experience

Preferred Qualifications:

Masters in Computer Science, Statistics, Mathematics, Computer Science, Life Sciences or another relevant scientific subject

6+ years of statistical programming in biopharmaceutical industry

Regulatory submission experience

Strong hands-on SAS programming expertise including SAS Base, Macro, SQL, SAS/Graph and Stat packages

Experience with R programming for clinical trial analyses, data manipulation, reporting and visualization preferred

Familiarity with additional programming languages and tools such as Python preferred

Hands-on experience developing and validating SDTM, ADaM datasets, and TFLs

Thorough understanding of clinical trial processes from data collection through analysis and reporting

Ability to lead programmers in successful completion of all study programming activities and provide guidance on technical and process questions

Strong understanding of data standards and compliance checks including Pinnacle 21

Experience providing quality oversight for outsourced and internal programming deliverables

Ability to troubleshoot complex technical issues and turnaround at-risk projects

Experience working in a globally dispersed team on Phase 1-4 clinical trials

Experience supporting clinical development programs within the Obesity Therapeutic Area preferred

Understanding of obesity clinical endpoints, data standards, and regulatory considerations is highly desirable

Excellent oral and written English communication skills; strong collaboration, negotiation, and organizational skills

.

Salary Range

129,056.35USD -174,605.65USD