The intern will support the Biostatistics, Clinical Analytics and Modelling (BCAM) team on the execution of real-world evidence studies and insights generation.
These are data analysis tasks that involve extracting and analyzing data from real-world data repositories such as medical claims, electronic health/medical records, lab results, census data, CDC surveys (e.g., NHANES) as well as internal systems of record to conduct a diverse range of analyses.
These tasks will primarily use programming languages such as SQL and R (Python to a less extent), as well as building dashboards and tools using Tableau.

Requirements

Must be a current student enrolled or recently graduated (graduation date no earlier than May 2026) at/from an accredited college or university pursuing at least a bachelor’s degree.
A completed or in progress doctoral degree in Biostatistics, Computer Science or a related discipline preferred.
Experience with datasets such as Optum, Komodo Health, IQVIA Ambulatory EMR, Pharmetrics Plus, and similar datasets is preferred.
Experience with SQL and R required.
Strong academic record with a preferred cumulative GPA of 3.0 or higher.
Conscientious self-starter with good organizational skills, project management skills and attention to detail.
Ability to balance multiple projects and priorities, must be able to multi-task.
Strong interpersonal communication and ability to collaborate with teams; must effectively operate independently, across functional lines, and with internal customers.
Demonstrated personal initiative, self-motivation, flexibility, adaptability and willingness to learn.
Proficient in Microsoft Office Tools including Word, Excel, PowerPoint, etc.

Benefits

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Hard Skills & Tools

SQLRPythondata analysisdashboard buildingdata extractionreal-world evidence studiesstatistical analysisdata modelingdata visualization

Soft Skills

organizational skillsproject managementattention to detailmulti-taskinginterpersonal communicationcollaborationself-motivationflexibilityadaptabilityinitiative