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Statistical Programmer Jobs in Pennsylvania (NOW HIRING)

Carnegie Mellon University

C Programmer

Pittsburgh, PA · On-site

... Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with eight (8) years of applicable experience; or a MS degree in a relevant ...

Unicon Pharma Inc.

R&D Programmer II

West Chester, PA · On-site

$61 - $73/hr

Clinical Programming - Contractor - Analysis and Reporting (ADaM) Remote Duration: Up to 2 year ... Bachelor's Degree/Master's Degree in Science, Statistics, Information Technology or equivalent ...

Carnegie Mellon University

C Programmer

Pittsburgh, PA · On-site

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with eight (8) years of applicable ...

Cmu

C Programmer

Pittsburgh, PA · On-site

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with eight (8) years of applicable ...

Carnegie Mellon University

C Programmer

Pittsburgh, PA · On-site

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with eight (8) years of applicable ...

Carnegie Mellon University

C Programmer

Pittsburgh, PA · On-site

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with eight (8) years of applicable ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Pennsylvania

Statistical Programmer information

See Pennsylvania salary details

$84.7K

$147.6K

$249.6K

How much do statistical programmer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistical programmer in Pennsylvania is $147,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $160,400.00 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 Pennsylvania?

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For Statistical Programmer jobs in Pennsylvania, the most frequently searched job titles are:

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Pennsylvania as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $147,645 per year, or $71 per hour.

C Programmer

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 19 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities

Job description

Job Summary:
Carnegie Mellon University is a prestigious institution known for its innovative research and development. The role involves developing software for network data collection and analysis, requiring proficiency in C and Python, as well as participation in the entire software development lifecycle.
Responsibilities:
• Design, develop, and maintain high-performance software tools for collecting, processing, and analyzing large-scale network data using C, Python, and Bash.
• Provide technical support by troubleshooting software issues, responding to user inquiries, and resolving reported defects.
• Prepare and maintain technical documentation, including user guides, installation instructions, and developer documentation.
• Develop and execute unit, integration, and regression tests to ensure software quality, reliability, and performance.
Qualifications:
Required:
• Polished to expert programming skills in C.
• Proficient scripting skills with bash.
• Strong problem-solving skills.
• Ability to learn a new programming language or development environment given appropriate time and resources.
• Ability to work both independently and with teams, manage multiple projects, and elicit technical requirements from management and staff.
• BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with eight (8) years of applicable experience; or a MS degree in a relevant discipline with five (5) years of applicable experience; or a PhD in a relevant discipline with two (2) years of applicable experience.
• Periodic travel to customer sites, conferences, workshops, and stakeholder meetings is required to support the SEI's mission and research activities.
• You will be subject to a background investigation and must have the ability to obtain and maintain a Department of War security clearance.
• Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.
Preferred:
• Experience developing software on Linux is preferred but not a requirement.
• Experience working with containerization tools such as Docker is preferred.
• Experience with network data collection or flow data, or awareness of network cyber threats is a plus, but not a requirement.
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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