Computational Statistics Intern: AI-Driven Projects & Mentoring

100 Eli Lilly and Company; Indianapolis (IN); Presencial; USD 80.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Free parking

LIFE fitness center

Bike garage

Housing assistance

Employee discounts

Descripción de la vacante

Eli Lilly and Company invites applications for a Computational Statistician Intern in Indianapolis. The role partners with statistics, data sciences, medical, regulatory, and clinical teams to lead a project addressing research and business needs.

You’ll apply statistics and programming to deliver high-quality results within Lilly’s analytics-driven culture. Interns learn about the pharmaceutical industry, build fluency with AI tools, and have opportunities for mentorship, professional

Formación

• Enrolled in a graduate program toward a Master’s in Statistics/Biostatistics/MSPH with a statistics concentration.
• Proficient in statistical programming languages/software such as R, SAS, Spotfire, WinBUG.
• Strong communication, teamwork, and leadership abilities.
• Experience with experimental design and statistical analysis.
• Self-management with focus on timely, accurate deliverables.
• Experience using AI tools in academic/project/work settings.

Responsabilidades

• Lead projects within Statistics, Data and Analytics with impact.
• Collaborate with stakeholders across functions.
• Present technical aspects and project impact to the organization.
• Apply innovative thinking and AI-assisted approaches to the project.

Conocimientos

R

SAS

Spotfire

WinBUG

Interpersonal skills

Teamwork

Statistical analysis

Experimental design

AI tools

Self-management

Educación

Master's in Statistics

Herramientas

R

SAS

Spotfire

WinBUG

Descripción del empleo

Eli Lilly and Company invites applications for a Computational Statistician Intern in Indianapolis. The role partners with statistics, data sciences, medical, regulatory, and clinical teams to lead a project addressing research and business needs.

You’ll apply statistics and programming to deliver high-quality results within Lilly’s analytics-driven culture. Interns learn about the pharmaceutical industry, build fluency with AI tools, and have opportunities for mentorship, professional