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Statistics Programmer Jobs in Pittsburgh, PA (NOW HIRING)

Background in statistics, statistical process control, applications development, and fundamentals ... Master's or PhD in engineering, physics, or materials science * Experience with customer-facing ...

... Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable ... In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and ...

... Statistics - 5 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

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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 Sep 4, 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.

Assistant AI Security Software Engineer with Security Clearance

Software Engineering Institute

Pittsburgh, PA • On-site

Other

Retirement

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Develop machine learning-based prototypes, tools, and systems for AI security applications.

  • Collaborate with researchers and stakeholders to design and execute experimental AI security solutions.

  • Process and analyze large, diverse cybersecurity datasets using analytical and problem-solving skills.


Job description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Assistant AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission. Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more. Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come. Key Responsibilities * Develop machine learning-based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
* Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
* Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
* Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
* Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
* Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team Minimum Qualifications * BS in computer science, machine learning, cybersecurity, statistics, or related discipline.
* Understanding of software engineering principles and system design.
* Experience with containerization and microservices architectures.
* Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%). * You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance. Preferred Qualifications * Experience applying statistical modeling and advanced data analytics techniques
* Background in developing AI/ML solutions in real-world settings
* Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
* Experience and knowledge in cybersecurity best practices
* Demonstrated ability to quickly learn and adapt to new technologies and domains
Why Join Us * Contribute to a world-class organization with significant impact on software and national security
* Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering
* 8% employer retirement contribution (no employee contribution required)
* Tuition benefits for employees and their dependent children
* Flexible work arrangements and strong work-life balance
* Paid parental and military leave
* Professional development opportunities, including conference attendance and certifications
* Qualify for relocation assistance and so much more. Location
Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
Salary
More 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