Hybrid Causal Inference Internship, Life Sciences

Sas; Cary (NC); Hybride; USD 21 000 - 68 000; Plein temps

Avantages offerts par ce poste

Hybrid work flexibility

Free SAS programming training & certs

Hackathons & social events

On-site Work/Life Center & wellness

Résumé du poste

SAS’s JMP Life Sciences internship offers hands-on work in causal inference, data science, and modern analytics. You’ll build workflows in R/Python/C++, explore cutting-edge methods, and document outcomes for impact.

The program emphasizes development, culture, and community, with exposure to leadership and real projects. Open to Master’s or PhD students in statistics, CS, data science, economics, or engineering who are passionate about analytics, communication, and leadership, starting May 2027

Qualifications

• Pursuing a Master’s or PhD in a life-science-analytic focused major is required.
• Strong knowledge of causal inference is essential.
• Excellent communication and coding skills are expected.

Responsabilités

• Program in R/Python/C++ to build new causal inference workflows.
• Explore causal discovery, causal ML, LLM-based methods for JMP.
• Test, benchmark, document, and promote work (written/video).

Connaissances

R

Python

C++

Communication skills

Leadership

Causal inference

Formation

Master’s or PhD in Statistics, Biostatistics, CS, Data Science, Economics, Engineering (not graduating before Dec 2027)

Outils

None

Description du poste

SAS’s JMP Life Sciences internship offers hands-on work in causal inference, data science, and modern analytics. You’ll build workflows in R/Python/C++, explore cutting-edge methods, and document outcomes for impact.

The program emphasizes development, culture, and community, with exposure to leadership and real projects. Open to Master’s or PhD students in statistics, CS, data science, economics, or engineering who are passionate about analytics, communication, and leadership, starting May 2027