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Statistical Programmer 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:

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 ...

... 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 ...

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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Statistical Programmer information

See Ohio salary details

$80.3K

$140K

$236.7K

How much do statistical programmer jobs pay per year?

As of Jul 15, 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 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.

What is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

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.

How hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

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.

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 cities in Ohio are hiring for Statistical Programmer jobs? Cities in Ohio with the most Statistical Programmer job openings:
Infographic showing various Statistical Programmer job openings in Ohio as of July 2026, with employment types broken down into 81% Full Time, 12% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $140,030 per year, or $67.3 per hour.

Lead Statistical Analyst

Tata Consultancy Service Limited

Cincinnati, OH • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 hours ago


Job description

Required Skillsets:
• Experience in leading a team of statistical programmers for a compound/indication or therapeutic area
• Proficiency in SAS / R programming languages to Program and validate ADaM , TFL and statistical analyses
• In-depth understanding of SAS programming concepts and techniques in drug development process and clinical study life cycle
• Good to have experience in other statistical programming languages (R).
• In-depth understanding of CDISC standards and therapeutic area (Oncology, Immunology , Neuroscience Etc.)
• Experience with regulatory filings.
• Effective communication skills (both written and verbal)
• Ability to effectively represent the Statistical Programming Organization in cross functional teams (Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing and Clinical Operations).
• Ability to accurately estimate effort required for project related programming activities.
• Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines
Key Responsibilities:
1. Leads the statistical programming activities for a compound/inidication.
2. Leads a team of statistical programmers and manages the resource planning for assigned staff.
3. Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
4. Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
5. Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
6. Ensures consistency of ADaM data sets for individual studies and integrated data.
7. Creates documentation for regulatory filings including reviewers guides and data definition documents.
8. Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
9. Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.
Salary Range: $130,000- 150,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal As sistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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