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

SAS • Cary, NC

7d • $29 - $49 • Hybrid

About The Position

JMP, a subsidiary of SAS, offers a 12-week summer internship with its JMP Life Sciences team. The team develops advanced solutions across fields including causal inference, survival, genomics, clinical data science, and chemistry, and works on emerging implementations involving modern LLMs, agentic design, context engineering, UI design, PyTorch, and XGBoost. The intern may develop causal inference workflows and methods, explore algorithms for potential adoption in JMP, and test, benchmark, document, and promote the work. The internship runs from May 18 through August 6, 2027. Interns must be available to start in person at the Cary headquarters on May 18; the dates are not flexible. The position offers hybrid work flexibility aligned with team needs.

Requirements

• Be pursuing a master's degree or preferably a PhD in Statistics, Biostatistics, Computer Science, Data Science, Economics, Engineering, or another life-science-analytic-focused major.
• Not be graduating before December 2027.
• Have strong knowledge of causal inference.
• Have very strong written and verbal communication skills and coding skills.
• Demonstrate leadership, initiative, and a willingness to go above and beyond.
• Be interested in the future of analytics and embrace technology.
• Be curious, passionate, authentic, and accountable.
• Be legally authorized to work in the United States without requiring employment visa sponsorship now or in the future.
• Be available to start in person at Cary headquarters on May 18, 2027, and work the fixed internship dates through August 6, 2027.

Nice To Haves

• Knowledge of individual treatment effects.
• Pursuing a PhD.

Responsibilities

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

Benefits

• Opportunity to work with and learn from company leaders and executives.
• Hybrid work flexibility, combining in-office collaboration with remote work in line with team needs.
• Free SAS programming training and certification.
• Well-being programs, including an on-site Work/Life Center, Recreation and Fitness Center, Employee Assistance Program, and subsidized cafés.
• Hackathons, social events, and other opportunities to connect and engage.

What This Job Offers

• Career Level: Intern