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Assistant R Statistical Programmer Jobs in Canonsburg, PA

Senior Quality Engineer, Pack

Weirton, WV · On-site

$86K - $117K/yr

Lead Statistical Process Control (SPC) activities and apply critical thinking to reduce variation ... Proficiency with data analysis tools such as JMP, R, Minitab, or equivalent * Ability to manage ...

Statistical Analysis: Proficiency in statistical methods and techniques. * SQL: Knowledge of ... Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation:

... 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 ...

New

Strong expertise in statistical analysis and data interpretation * Proficiency in programming languages such as Python or R * Experience working with large, complex datasets * Experience building ...

Strong expertise in statistical analysis and data interpretation * Proficiency in programming languages such as Python or R * Experience working with large, complex datasets * Experience building ...

Strong expertise in statistical analysis and data interpretation * Proficiency in programming languages such as Python or R * Experience working with large, complex datasets * Experience building ...

Senior Quality Engineer

Weirton, WV · On-site

$86K - $117K/yr

Lead Statistical Process Control (SPC) activities and apply critical thinking to systematically ... Proficiency with data analysis tools such as JMP, R, Minitab, or equivalent * Ability to manage ...

Showing results 41-60

Assistant R Statistical Programmer information

See Canonsburg, PA salary details

$77.7K

$135.4K

$228.8K

How much do assistant r statistical programmer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for assistant r statistical programmer in Canonsburg, PA is $135,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $147,000.00 per year, depending on experience, location, and employer.

What is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

Are Assistant R Statistical Programmers in demand?

Assistant R Statistical Programmers are in demand due to the growing need for data analysis and statistical programming in industries like healthcare, finance, and research. Proficiency in R, along with knowledge of clinical trial processes and statistical methods, enhances job prospects in this field.

What are popular job titles related to Assistant R Statistical Programmer jobs in Canonsburg, PA?

For Assistant R Statistical Programmer jobs in Canonsburg, PA, the most frequently searched job titles are:

What cities near Canonsburg, PA are hiring for Assistant R Statistical Programmer jobs?

Cities near Canonsburg, PA with the most Assistant R Statistical Programmer job openings:

Assistant AI Security Software Engineer

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 28 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

68th of 620 rated colleges and universities


Job description

Job Summary:
Carnegie Mellon University is seeking an Assistant AI Security Software Engineer in the CERT Division of the Software Engineering Institute. The role involves researching and developing AI security solutions, collaborating with stakeholders, and applying software engineering practices to address AI security challenges.
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
Qualifications:
Required:
• 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:
• 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
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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