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Statistical Programmer Jobs in Pittsburgh, PA (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 ...

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

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior C Programmer

Pittsburgh, PA

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with ten (10) years of applicable ...

Carnegie Mellon University

Senior C Programmer

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with ten (10) years of applicable ...

Carnegie Mellon University

Senior C Programmer

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Education and Experience: BS degree in Computer Science, Statistics, Engineering, Mathematics, Economics, Data Science, or a related highly quantitative discipline with ten (10) years of applicable ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Pittsburgh, PA

Statistical Programmer information

See Pittsburgh, PA salary details

$82K

$143K

$241.7K

How much do statistical programmer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistical programmer in Pittsburgh, PA is $142,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $155,300.00 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 Pittsburgh, PA?

The most popular types of Statistical Programmer jobs in Pittsburgh, PA are:

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

What job categories do people searching Statistical Programmer jobs in Pittsburgh, PA look for?

The top searched job categories for Statistical Programmer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Statistical Programmer jobs?

Cities near Pittsburgh, PA with the most Statistical Programmer job openings:

Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $142,993 per year, or $68.7 per hour.

C Programmer

Software Engineering Institute | Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
Carnegie Mellon University is a leading institution in research and innovation, and they are seeking a C Programmer to join their Cyber Risk and Resilience Directorate. The role involves developing software tools for network data collection and analysis, with responsibilities spanning 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:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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