Note: We have multiple internship positions posted. Please consider applying for no more than 3 roles to ensure your application is being reviewed for the position(s) that best align with your career interests and goals.

Nice to meet you! 

JMP, a subsidiary of SAS, is committed to empowering scientists and engineers via our world-class family of statistical software products. For over 35 years, JMP has enabled customers to speed new drugs to market, to design better products and processes, and to figure out how to restore ecosystems. Advancements are made when brilliant people use JMP statistical discovery software to see what they’ve not seen before. If you are a problem solver, a connector, and someone who enjoys helping others, then a JMP internship may be the right fit for you!

What you’ll do: 

Looking for *that* internship? The game-changing one that’ll help you learn, grow, and chart your path forward? You’ll find it at JMP!  Our interns aren’t coffee runners – they do real, meaningful work. Our award-winning internship program is focused on development, culture, and community. We’ll help you grow professionally, find (or further) your passion, and make memorable connections that last beyond the summer!

We’re looking for a superstar graduate level Research Statistician Development intern who loves to design, develop, and debug software. As a Research Statistician Software Development intern, you’ll work with (and learn from) the best as you tackle projects that span the software development lifecycle. You’ll have ample opportunity to make – or rather, code – your mark. 

As a JMP intern, you may:

• Leverage your research interests to conduct independent research to support development efforts.
• Design, develop, and debug software as part of the JMP development team.
• Collaborate with other research statisticians to develop innovative solutions.

What we’re looking for:

• You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
• Pursuing a MS/PhD degree in Statistics, Mathematics or a related quantitative field.
• Someone with knowledge of experimental design or reliability analysis.
• Familiarity with topics in optimal design of experiments, Bayesian optimization, combinatorial design, graph theory, or reliability.
• Ability to think analytically and to effectively communicate problems and suggest solutions.
• Ability to conduct independent research, gathering information from multiple sources and communicate recommendations to the development team.
• Ability to give specific, constructive feedback and exert positive influence.
• Ability to work in a team environment, collaborating with other testers, developers, documentation staff members as well as technical support.
• Ability to demonstrate flexibility in adapting to changing priorities and deadlines.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience using R, Python, Julia, Matlab, or C++
• Basic to advanced programming skills

Timeline: 

• Applications open: October 2024  (additional internship positions will be posted through March 2025)
• Interviews begin: October 2024 on a rolling basis.
• Internship: May 20 – August 8, 2025. If your university is on a quarter system, we can be flexible on start date.

  Perks of the job: 

• Work with (and learn from) the best. As a SAS intern, you’ll get face time with our top executives! 
• At SAS, flexible work is the norm. Want to work remotely? That’s cool. Prefer a hybrid mix of sweatpants and in-person collaboration? That’s great, too.  
• We work hard, but we like to play hard, too. Enjoy hackathons, social events and other opportunities to connect + engage.  
• Your well-being matters, and that’s why we support all dimensions of your well-being by offering programs that reduce stress and distractions to help you stay healthy and productive.  This includes an on-site and remote Work/Life Center staffed by master’s level social workers and an Employee Assistance Program.

Diverse and inclusive    

At SAS & JMP, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.    

Additional Information

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity/Affirmative Action employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice.

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

SAS only sends emails from verified “sas.com”  or "jmp.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

Pay Transparency: The hourly rate for SAS/JMP internships is determined by the applicant’s year in school and the position they are hired into. Hourly rates range from $15 – $31 for associate’s/bachelor’s level positions and $29 - $49/hour for master’s/Ph.D positions. Internship roles are not eligible for bonus.

#LI-DNI