Elite Causal Inference Summer Internship

JMP; Cary (NC); Hybrid; USD 21,000 - 68,000; Full time

Benefits offered by this job

Face time with leaders

Hybrid work flexibility

SAS training & cert

Well-being programs

Hackathons & social events

Job summary

JMP (a SAS subsidiary) offers a transformative internship in its Life Sciences division in Cary, NC. Interns do real work, grow professionally, and build lasting connections beyond the summer.

As an intern, you may program in R/Python/C++ to develop causal inference workflows, explore cutting-edge analytics methods, and document your results. Requirements include pursuing a Master’s or PhD and availability May 18, 2027 for 12 weeks.

Qualifications

• 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.

Responsibilities

• Program in R/Python/C++ to build new/state-of-art causal inference workflows/methods.
• Explore algorithms such as causal discovery and causal ML for potential adoption in JMP.
• Test, benchmark, document, and promote this work (written and/or video).

Job description

JMP (a SAS subsidiary) offers a transformative internship in its Life Sciences division in Cary, NC. Interns do real work, grow professionally, and build lasting connections beyond the summer.

As an intern, you may program in R/Python/C++ to develop causal inference workflows, explore cutting-edge analytics methods, and document your results. Requirements include pursuing a Master’s or PhD and availability May 18, 2027 for 12 weeks.