JMP · 13 hours ago
2026 JMP Summer Intern; Advanced Analytics Testing
Cary HQ, NC, US
Internship
Hybrid
Intern
Start in 2026 SummerJMP is a subsidiary of SAS committed to empowering scientists and engineers through statistical software products. The Summer Intern in Statistical Testing will work with Research Statistician Developers and Testers to validate the accuracy of statistical algorithms and ensure software quality used by engineers and scientists globally.
AnalyticsBusiness IntelligenceSoftware
No H1B
Responsibilities
Work with Research Statistician Developers and Research Statistician Testers to independently validate the numerical accuracy of statistical algorithms in various statistical platforms during the software development life cycle
Ensure the quality and functionality of software that is used to make critical decisions by engineers and scientists around the world
Consume technical and scientific literature, write statistical test code, and participate in the statistical documentation review process
Engage in independent and collaborative research to support software development, enable user engagement, and demonstrate JMP’s statistical capabilities
Qualification
Required
A senior doctoral student actively enrolled in a graduate-level curriculum leading to a PhD in Statistics or a related quantitative field such as Mathematics, Industrial Engineering, Software Engineering, etc
Knowledge of statistical methods in areas such as linear and nonlinear models, multivariate statistics, statistical quality control, data management and screening methods, etc
Experience using JSL, R, SAS, or Python programming languages at an intermediate to advanced level
Ability to work in a team environment and collaborate with other members in Statistical Research and Development including developers, testers, and writers
Ability to conduct independent research and testing, gather and synthesize information from multiple sources, and provide constructive feedback to the development team
Ability to take ownership of the statistical areas you are responsible for and independently ensure their quality has been assessed
Ability to adapt to changing priorities and software development deadlines
Strong verbal and written communication skills
Strong time management and organizational skills
Preferred
A broad statistical background; training or experience in any of the following is also considered but not required: Time Series, Statistical Quality Control, Reliability, Bayesian Methods, Machine Learning, Optimization, and Design of Experiments (DOE)
Benefits
Free SAS programming training and certification.
Flexible work is the norm.
On-site and remote Work/Life Center staffed by master’s level social workers
Employee Assistance Program.
Company
JMP
Great software in the right hands can change the world. We’ve seen it. You may have too.
Founded in 1989
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Jon Weisz
Chief Executive Officer
Recent News
2025-12-08
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