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Statistical Programmer Jobs in Columbus, OH (NOW HIRING)

Purple Drive

Lead AI-ML Engineer

Westerville, OH

$99K - $130K/yr

... statistical models, including standard deviation calculations, variance thresholds, and ... with engineers and business teams to integrate models into production systems. • Conduct ...

Kimball Midwest

Marketing Data Analyst

Columbus, OH · On-site

Experience with statistical programming languages such as R or Python. * Experience developing dashboards and visualizations using business intelligence tools such as Tableau, Power BI, or Looker.

Deloitte

AI and Data Science Engineer III

Columbus, OH

$110K - $132K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

PSG

QUALITY ENGINEER

Columbus, OH · On-site

$69K - $89K/yr

Analysis of data using statistical control principles. REQUIREMENTS * B.S. degree in related engineering discipline or experience equivalent required (expert knowledge acquired 5+ years) * 3+ years ...

PSG

QUALITY ENGINEER

Columbus, OH · On-site

$69K - $89K/yr

Analysis of data using statistical control principles. REQUIREMENTS * B.S. degree in related engineering discipline or experience equivalent required (expert knowledge acquired 5+ years) * 3+ years ...

voyant

Engineer, Quality

New Albany, OH · On-site

$69K - $89K/yr

Assess and improve quality systems using analytical and statistical methods to identify gaps and ... Bachelor's Degree Degree in Engineering, Science, or related field or 5+ years in a Quality role ...

Voyant Beauty

Engineer, Quality

New Albany, OH · On-site

$69K - $89K/yr

Assess and improve quality systems using analytical and statistical methods to identify gaps and ... Bachelor's Degree Degree in Engineering, Science, or related field or 5+ years in a Quality role ...

Walor North America

Quality Engineer

Columbus, OH

$69K - $89K/yr

Analysis of data using statistical control principles * Other duties as assigned What you will bring * B.S. degree in related engineering discipline or experience equivalent required (expert ...

DATASOFT TECHNOLOGIES

Sr Software Engineer

Columbus, OH · Hybrid

$114K - $150K/yr

Location : 1400 City View Drive Columbus OH Requirements : • Bachelor's degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent ...

Illuminateusa

Quality Improvement Engineer

Pataskala, OH

$69K - $89K/yr

Process Quality Engineering Manager The Quality Improvement Engineer will drive initiatives to ... statistical process control and analysis using statistical software (e.g., JMP and Minitab)

Illuminate USA

Quality Improvement Engineer

Pataskala, OH · On-site

$69K - $89K/yr

Process Quality Engineering Manager The Quality Improvement Engineer will drive initiatives to ... statistical process control and analysis using statistical software (e.g., JMP and Minitab)

Pwc

GenAI Python Systems Engineer-Manager

Columbus, OH · On-site

$99K - $232K/yr

... Statistics - 5 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Columbus, OH

Statistical Programmer information

See Columbus, OH salary details

$79K

$137.6K

$232.7K

How much do statistical programmer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for statistical programmer in Columbus, OH is $137,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $149,500.00 per year, depending on experience, location, and employer.

What are statistical programmers?

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.

Is SAS a good career choice?

A career as a Statistical Programmer using SAS is in demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and reporting are essential. Proficiency in SAS, along with knowledge of programming and statistical methods, can lead to stable employment and opportunities for advancement.

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 Columbus, OH? The most popular types of Statistical Programmer jobs in Columbus, OH are:
What are popular job titles related to Statistical Programmer jobs in Columbus, OH? For Statistical Programmer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Columbus, OH look for? The top searched job categories for Statistical Programmer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Statistical Programmer jobs? Cities near Columbus, OH with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Columbus, OH as of June 2026, with employment types broken down into 9% Internship, 82% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $137,621 per year, or $66.2 per hour.

Lead AI-ML Engineer

Purple Drive

Westerville, OH

$99K - $130K/yr

Other

Posted 2 days ago

Job description

Overview:
Key Responsibilities:
• Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection.
• Develop, optimize, and maintain computational models for debit transaction anomaly detection using AI/ML techniques.
• Perform data analysis, generate insights, and identify patterns to support decision-making.
• Design and implement statistical models, including standard deviation calculations, variance thresholds, and probabilistic models to enhance anomaly detection accuracy.
• Work with existing models to apply backtracking methodologies and improve anomaly reduction strategies.
• Leverage machine learning algorithms (e.g., classification, clustering, time-series modeling) to predict, detect, and manage anomalies.
• Collaborate with engineers and business teams to integrate models into production systems.
• Conduct performance monitoring, fine-tuning, and validation of ML models to ensure accuracy and reliability.
• Prepare technical documentation, visualizations, and reports to communicate findings effectively to business and technology stakeholders.
Required Skills & Qualifications:
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 10+ years of hands-on experience in data science, AI, or ML engineering.
• Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow).
• Solid understanding of Data Science with a heavy focus on statistical modeling and Machine Learning, hypothesis testing, regression analysis, and variance modeling.
• Experience with anomaly detection techniques - supervised, unsupervised, and hybrid approaches.
• Experience in Generative AI based implementations.
• Expertise in working with large datasets using SQL, Spark, or similar data-processing frameworks.
• Strong problem-solving, analytical thinking, and communication skills.
• Experience in deploying ML models into production environments, MLOps, preferably on AWS

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