JMP 2027 Summer Internship; Causal Inference (Master's/Phd)

JMP Statistical Discovery LLC.; Idaho; Hybride; USD 40 000 - 68 000; Plein temps

Avantages offerts par ce poste

Hybrid work flexibility

Free SAS training & certification

On-site Wellness Center

Hackathons & social events

Résumé du poste

JMP Statistical Discovery LLC. is offering a Life Sciences internship focused on causal inference and advanced analytics.

Interns will work on developing causal workflows, testing and benchmarking methods, and documenting results while collaborating with leaders and scientists. We seek Master’s or PhD students in statistics, biostatistics, CS, data science, economics, or engineering who can start after December 2027.

Qualifications

• Pursuing a Master’s or PhD in Statistics, Biostatistics, Computer Science, Data Science, Economics, Engineering or related life-science-analytic major, not graduating before December 2027.
• Strong knowledge about causal inference; knowledge about individual treatment effect is a plus.
• Excellent communication and coding skills, with demonstrated leadership and initiative.
• Curious, passionate, authentic and accountable; interested in the future of analytics and technology.

Responsabilités

• Program in R/Python/C++ to build causal inference workflows and methods.
• Explore and benchmark cutting-edge algorithms such as causal discovery or causal ML.
• Test, document, and promote work through written or video formats.

Connaissances

Causal inference

Coding skills

Leadership

Communication

Formation

Master’s or PhD in Stats/CS/Data Science/Engineering

Outils

R

Python

C++

Description du poste

Looking for *that* internship? The game-changing one that will help you learn, grow, and chart your path forward? You’ll find it at JMP (a subsidary of SAS)! 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.

The JMP Life Sciences division improves all JMP products with advanced solutions in a wide number of fields, including causal inference, survival, genomics, clinical data science, and chemistry. We are also spearheading new developments for cutting edge implementations using modern LLMs, agentic design, context engineering, UI design, PyTorch, and XGBoost.

As an intern on the JMP Life Sciences team, you may:

• Program in R/Python/C++ or other proper coding language to build new/state-of-art causal inference workflows/methods.
• Explore algorithms that can be adopted to JMP, such as causal discovery, causal machine learning, LLM-based, or other cutting-edge methods.
• Test, benchmark, document, and promote this work (written and/or video).

What we are looking for:

• You are pursuing a Master’s or preferably a PhD in Statistics, Biostatistics, Computer Science, Data Science, Economics, Engineering, or other life-science-analytic focused major, not graduating prior to December 2027.
• Strong knowledge about causal inference. Knowledge about individual treatment effect is a plus.
• Someone with very strong communication and coding skills – both written and verbal.
• Leadership abilities. Your past experiences demonstrate you’ll take initiative and go above and beyond the call of duty.
• You’re interested in the future of analytics and embrace technology.
• You’re curious, passionate, authentic, and accountable. These are ourvaluesand influence everything we do.

Timeline

• Applications open: October 2026
• Interviews begin: October 2026 on a rolling basis.

• Internship:May 18, 2027 – August 6, 2027 (These dates are not flexible. To be considered for the JMPSummer Internship program, all interns must be available to start in person at Cary HQ on May 18, 2027. Summer internships last 12 weeks.)

Perks of the job

• Work with (and learn from) the best. As a JMP intern, you’ll get face time with company leaders and executives.

• Hybrid work flexibility: Our hybrid approach offers the best of both worlds, combining in-office collaboration with the flexibility to work remotely, aligned with your team’s needs.

• Free SAS programming training and certification.

• Your well-being matters. We support all dimensions of your well-being with programs designed to reduce stress and distractions so you can stay healthy and productive. This includes an on-site Work/Life Center, Recreation and Fitness Center, Employee Assistance Program (EAP), subsidized cafés and more.

• We work hard, but we like to have fun, too. Enjoy hackathons, social events and other opportunities to connect and engage.

You are welcome here.

At JMP, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

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 employer. All qualified applicants are considered for employment without regard to any characteristic protected by law.

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 and JMP 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 [e-mail].

Pay transparency: Hourly rates for SAS internships are based on an applicant’s year in school and the role they are hired into. Rates range from $15 to $30 per hour for associate and bachelor’s-level positions and from $29 to $49 per hour for master’s and Ph.D positions. Internship roles are not eligible for bonuses.

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