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Statistical Programmer Jobs in Ohio (NOW HIRING)

Ra

Marketing Analytics Manager

Cleveland, OH

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

Ra

Marketing Analytics Manager

Columbus, OH

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

Ra

Marketing Analytics Manager

Cincinnati, OH · On-site

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

SIERTEK LTD

Mathematician* (26.23)

Dayton, OH · On-site +1

Statistical Programming & Computational Analysis * Develop analytical datasets and perform statistical analyses using: * SAS * SAS Enterprise Guide * Mathematical and statistical programming ...

SIERTEK LTD

Mathematician* (26.23)

Dayton, OH · On-site

Statistical Programming & Computational Analysis * Develop analytical datasets and perform statistical analyses using: * SAS * SAS Enterprise Guide * Mathematical and statistical programming ...

SierTeK Ltd.

Mathematician*

Dayton, OH · On-site

Statistical Programming & Computational Analysis * Develop analytical datasets and perform statistical analyses using: * SAS * SAS Enterprise Guide * Mathematical and statistical programming ...

SIERTEK

Mathematician*

Dayton, OH · On-site

Statistical Programming & Computational Analysis * Develop analytical datasets and perform statistical analyses using: * SAS * SAS Enterprise Guide * Mathematical and statistical programming ...

Huntington Ingalls Industries

$85K - $130K/yr

Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware ... Provide statistical expertise to acquisition programs and research projects * Lead development of ...

Stolle Machinery Company

CNC Programmer

North Canton, OH · On-site

$23.50 - $32.25/hr

Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications ... Knowledge of the practical application of engineering science and technology including applying ...

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Showing results 21-40

All JobsStatistical Programmer JobsStatistical Programmer Jobs in Ohio

Statistical Programmer information

See Ohio salary details

$80.3K

$140K

$236.7K

How much do statistical programmer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for statistical programmer in Ohio is $140,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $152,100.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

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

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Ohio? The most popular types of Statistical Programmer jobs in Ohio are:
What are popular job titles related to Statistical Programmer jobs in Ohio? For Statistical Programmer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Ohio look for? The top searched job categories for Statistical Programmer jobs in Ohio are:
What cities in Ohio are hiring for Statistical Programmer jobs? Cities in Ohio with the most Statistical Programmer job openings:
What are popular job titles related to Statistical Programmer jobs in OH? For Statistical Programmer jobs in OH, the most frequently searched job titles are:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Ohio as of July 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $140,030 per year, or $67.3 per hour.

Lead Data Engineer (Senior Programmer/Analyst)

STAFFXPERT LLC

Columbus, OH • On-site

$107K - $128K/yr

Other

Posted 2 days ago

New

Job description

Job Title Lead Data Engineer (Senior Programmer/Analyst)

Location Columbus, OH (Onsite)

Job Summary

STAFFXPERT LLC is seeking a Lead Data Engineer on behalf of our client in Columbus, OH. This role is ideal for a highly skilled data professional with extensive experience designing, building, and optimizing enterprise-scale data pipelines and data platforms. The successful candidate will work closely with business stakeholders, data scientists, analysts, and governance teams to deliver scalable data solutions that support analytics, reporting, and data-driven decision-making.

This position requires strong expertise in modern data engineering practices, cloud-based technologies, data architecture, and large-scale data integration.

Key Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines and data integration solutions.

  • Architect and implement enterprise data platforms that support business intelligence, analytics, and data science initiatives.

  • Collaborate with data scientists, business analysts, and stakeholders to gather requirements and deliver data solutions aligned with business objectives.

  • Build, optimize, and manage data ingestion, transformation, and processing workflows across diverse data sources.

  • Ensure data quality, consistency, governance, and compliance across data assets.

  • Partner with data governance teams to promote reusable and governed data products.

  • Implement data testing, monitoring, and performance optimization strategies.

  • Support DevOps and CI/CD practices, including version control, automated testing, deployment, and release management.

  • Mentor junior team members and provide technical leadership across projects.

  • Lead cross-functional initiatives and contribute to enterprise data strategy and best practices.

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field.

  • 7+ years of experience in Data Engineering, Data Integration, Data Management, or related disciplines.

  • 7+ years of hands-on experience with database development, SQL programming, ETL/ELT processes, and advanced analytics environments.

  • Strong experience designing, building, and optimizing large-scale data pipelines and data architectures.

  • Experience working with large, complex, and heterogeneous datasets.

  • Solid understanding of data modeling, data governance, data quality, and data management best practices.

  • Experience with cloud-based data engineering technologies and platforms.

  • Knowledge of DevOps methodologies, CI/CD pipelines, version control systems, and automated testing practices.

  • Strong analytical, problem-solving, and communication skills.

  • Proven ability to lead initiatives and collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Master’s degree in Computer Science, Statistics, Data Science, or a related field.

  • Hands-on experience with data testing and validation frameworks.

  • Experience with data preparation and data wrangling tools.

  • Strong experience with AWS data engineering services, including AWS Glue, AWS Lambda, Amazon Athena, Amazon S3, and Amazon Redshift.

  • Experience with business intelligence and reporting tools such as Power BI, Tableau, or similar platforms.

  • Familiarity with open-source and commercial data science platforms.

  • Experience working in Agile delivery environments.

  • Demonstrated success leading cross-functional teams and mentoring junior professionals.

  • Experience within the Financial Services, Banking, Insurance, or FinTech industry is highly preferred.

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