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

SAS • Cary HQ, NC

6d • Hybrid

About The Position

As an intern on the JMP Life Sciences team, you will contribute to advanced methods and solutions across fields including causal inference, survival, genomics, clinical data science, and chemistry. The team also develops implementations using modern LLMs, agentic design, context engineering, UI design, PyTorch, and XGBoost. Internship work may include building causal inference workflows and methods, exploring algorithms that could be adopted by JMP, and testing, benchmarking, documenting, and promoting the work. The internship runs for 12 weeks, from May 18, 2027, through August 6, 2027. Interns must be available to start in person at the Cary headquarters on May 18; these dates are not flexible. The role offers hybrid work flexibility aligned with team needs.

Requirements

• Pursuing a Master’s degree, or preferably a Ph.D., in Statistics, Biostatistics, Computer Science, Data Science, Economics, Engineering, or another life-science-analytics-focused major.
• Must not graduate before December 2027.
• Strong knowledge of causal inference.
• Strong written and verbal communication skills.
• Strong coding skills.
• Leadership abilities.
• Demonstrated initiative and willingness to go above and beyond.
• Interest in the future of analytics and openness to technology.
• Curious, passionate, authentic, and accountable.
• Legally authorized to work in the United States and not require employment visa sponsorship now or in the future.
• 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 effect.
• A Ph.D. is preferred.

Responsibilities

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

Benefits

• Hybrid work flexibility.
• Free SAS programming training and certification.
• On-site Work/Life Center.
• Recreation and Fitness Center.
• Employee Assistance Program (EAP).
• Subsidized cafés.
• Hackathons, social events, and other opportunities to connect and engage.
• Hourly pay of $29 to $49 for master’s and Ph.D. internship positions; internship roles are not eligible for bonuses.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern