2027 Summer Internship; Causal Inference

About the Role

The JMP Life Sciences division enhances JMP products with advanced solutions in various fields, including causal inference, survival, genomics, clinical data science, and chemistry. They are also developing implementations using LLMs, agentic design, context engineering, UI design, PyTorch, and XGBoost.

Key Responsibilities

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

• Program in R/Python/C++ or other coding languages to build new causal inference workflows/methods.
• Explore algorithms for adoption into 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).

Requirements & Tech Stack

• Pursuing a Master’s or 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 of causal inference.
• Knowledge of individual treatment effect is a plus.
• Very strong communication and coding skills (written and verbal).
• Leadership abilities demonstrated by past initiatives.
• Interest in the future of analytics and embracing technology.
• Values: Curiosity, passion, authenticity, and accountability.

Qualifications

• Pursuing a Master’s or 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.
• Very strong communication and coding skills – both written and verbal.
• Leadership abilities.
• Interest in the future of analytics and embrace technology.
• Curious, passionate, authentic, and accountable.

Timeline

• Internship: May 18, 2027 – August 6, 2027 (12 weeks)
• Must be available to start in person at Cary HQ on May 18, 2027.

Perks of the Job

• Work with and learn from company leaders and executives.
• Hybrid work flexibility.
• Free SAS programming training and certification.
• Support for well-being, including on-site Work/Life Center, Recreation and Fitness Center, Employee Assistance Program (EAP), and subsidized cafés.
• Opportunities for hackathons and social events.