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Statistical Programmer Jobs in Columbus, 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 ...

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 ...

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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Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

While grounded in statistical programming (R) and rigorous research methodologies, the analyst will also leverage modern data tools (SQL, AWS) and applied AI to scale their workflows and improve data ...

Senior Electrical Engineer

Delaware, OH · On-site

$102K - $132K/yr

Statistical Engineering - Six Sigma analysis * Intimate knowledge in applying electrical Codes, Standards, & Regulations (NEC, NFPA, UL, FM, NETA, etc.) * Fault Analysis skills * Advanced working ...

... 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. • ...

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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 17, 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.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory reporting are critical. Skills in SAS, along with knowledge of data management and statistical analysis, increase employability, especially for roles requiring compliance with industry standards. The demand for SAS programmers remains steady due to ongoing needs for data-driven decision-making and regulatory submissions.

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 much does a statistical programmer earn?

The average salary for a statistical programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in SAS, R, or Python may earn higher compensation, often exceeding $120,000 per year.

What is SAS developer salary?

The salary for a SAS developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled SAS programmers with certifications and knowledge of data management tools often earn higher salaries, especially in pharmaceutical, healthcare, and finance sectors.

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, working closely with statisticians and data managers in a regulated environment.

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 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:
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.

Biostatistical Prograrmming Manager

Amgen

Columbus, OH

Full-time

Posted 2 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