About The Position

JMP Life Sciences develops advanced solutions for JMP products across AI, machine learning, genomics, and clinical data science. The division is also developing modern implementations using LLMs, agentic design, context engineering, UI design, PyTorch, and XGBoost. The intern will program in Python to build new AI-integrated routines for JMP, then test, benchmark, document, and promote the work through written materials and/or video. This is a 12-week, in-person-start summer internship running May 18 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 flexibility aligned with team needs. Applicants must be legally authorized to work in the United States and must not require employment visa sponsorship now or in the future. Hourly pay for master's and Ph.D. internship positions ranges from $29 to $49; internship roles are not eligible for bonuses.

Requirements

  • Be pursuing a master's degree or, preferably, a Ph.D. in Computer Science, Biostatistics, Biochemistry, Clinical Statistics, Statistical Genomics, Engineering, or another life-science-analytic-focused major.
  • Not be graduating before December 2027.
  • Have very strong written and verbal communication 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 and not require employment visa sponsorship now or in the future.
  • Be available to start in person at the Cary headquarters on May 18, 2027, and work for the full 12-week internship through August 6, 2027.

Responsibilities

  • Program in Python to build new AI-integrated routines for JMP.
  • Test and benchmark the work.
  • Document and promote the work through written materials and/or video.

Benefits

  • Access to company leaders and executives.
  • Hybrid work flexibility aligned 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.
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