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Statistics Programmer Jobs in Pittsburgh, PA (NOW HIRING)

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 ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel ...

Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel ...

Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel ...

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

... or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices ...

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Statistics Programmer information

See Pittsburgh, PA salary details

$60.2K

$97.8K

$148.1K

How much do statistics programmer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for statistics programmer in Pittsburgh, PA is $97,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $122,800.00 per year, depending on experience, location, and employer.

What is a statistics programmer?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do statistics programmers collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

What are the key skills and qualifications needed to thrive as a statistics programmer?

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What are popular job titles related to Statistics Programmer jobs in Pittsburgh, PA?

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

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

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

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

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

Infographic showing various Statistics Programmer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $97,771 per year, or $47 per hour.

Senior C Programmer

Cmu

Pittsburgh, PA • On-site

Full-time

Re-posted 19 hours ago


Job description

What We Do:

Our team in the Cyber Risk and Resilience Directorate researches and develops software tools capable of collecting, storing, and analyzing organizational network data to provide security analysts insights into what is traversing their network. We provide both the core network tools to facilitate this capability, and prototypes of new ways to present the data effectively. We deal with a scale of network data generally unseen by most organizations, handling record counts in the tens of billions per day.

Developing security insights at this scale requires creativity, efficiency, and staying up to date with modern computing platforms. In some cases, the computing has outpaced the methods, and it is incumbent upon us to generate novel views of both the entire data collection, and of focused datasets tailored to specific analyst needs.

Our network situational awareness security tools are published here: https://tools.netsa.cert.org/

Position Summary:

You'll be responsible for developing software within our network data collection suite and pushing the bounds of the uses of those tools. Much of the software is written in C, and some in Python. We are responsible for the entire life-cycle of the tools: requirements gathering/generation, development, testing, documentation, and user support.

There is room for independence for new tools or projects to make our software suite more complete. Making the tools easy to integrate and deploy, along with writing documentation are additional tasks for the position. You will work on existing projects with more senior developers until you have a grasp of the tool suite and gain domain expertise to take command of new or current tools.

You bring the design and software skills, and we'll bring the domain knowledge to solve the hard network security data problems.

Knowledge, Skills and Abilities:

  • 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.

Requirements:

  • 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 experience, or equivalent experience and demonstrated expertise in C programming; or a MS degree in a relevant discipline with eight (8) years of applicable experience; or a PhD in a relevant discipline with five (5) years of applicable experience.
  • Travel:Periodic travel to customer sites, conferences, workshops, and stakeholder meetings is required to support the SEI's mission and research activities.
  • Security Clearance:You will be subject to a background investigation and must have the ability to obtain and maintain a Department of War security clearance.

Duties:

  • Software Development (70%): Design, develop, and maintain high-performance software tools for collecting, processing, and analyzing large-scale network data using C, Python, and Bash. Participate in the full software development lifecycle, including requirements analysis, implementation, testing, deployment, and ongoing enhancement of cybersecurity research tools.
  • Customer Support (10%): Provide technical support by troubleshooting software issues, responding to user inquiries, and resolving reported defects. Collaborate with customers and stakeholders to gather feedback and recommend improvements to existing tools.
  • Documentation/Publication (10%):Prepare and maintain technical documentation, including user guides, installation instructions, and developer documentation. Contribute to technical reports, presentations, and publications that communicate software capabilities and research outcomes.
  • Testing (10%):Develop and execute unit, integration, and regression tests to ensure software quality, reliability, and performance. Identify, troubleshoot, and resolve software defects while supporting continuous improvement of testing processes.

Desired Experience:

  • Primary developer / project lead for a completed software project. Exposure to all phases of software development from requirements gathering to delivery. The feeling of ownership of the project.
  • An understanding of software / systems development lifecycle, QA testing, revision control, and change management practices
  • 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. It is our responsibility to transfer domain knowledge.

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance


CMU logo

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US