BDS Intern

About Human Pharmaceutical Business 
With global presence, Boehringer Ingelheim has industry-leading expertise in medicine research and development. We are constantly developing the next generation of medical breakthroughs and successfully delivering innovations to meet the medical needs of the patients we serve in the following key areas of interest: cardiovascular, respiratory, metabolic diseases, immunology, oncology and central nervous system. In the future, we will accelerate the launch of more than 10 innovative medicines to meet the demand of Chinese patients.

Job Responsibilities

• Develop, review, and validate R/SAS programs for data quality checks and visualization, with emphasis on RECIST 1.1 tumor assessment data.
• Implement rule-based and statistical checks for lesion measurements (target and non-target), sum of diameters, visit windows, confirmation rules, new lesion flags, and progression criteria per RECIST 1.1.
• Support derivation and QC of key oncology endpoints (e.g., BOR, ORR, DOR, PFS, TTR), including reconciliation across sources (e.g., central imaging reads vs. investigator assessments).
• Build visual analytics and dashboards (e.g., waterfall plots, spider plots, swimmer plots; R Shiny/ggplot2/plotly or SAS Visual Analytics) to enable data review and medical monitoring.
• Work with clinical data standards (e.g., CDISC SDTM/ADaM; TR, TU, RS, ADTR, ADRS domains/datasets) where applicable.
• Follow Good Programming Practices with clear specifications, version control (e.g., Git), documentation, and validation artifacts.
• Adhere to company SOPs and How-To Guides; ensure compliance with data privacy and governance requirements.
• Present your project and findings at the end of the program.

Job Requirements

• Must be an undergraduate, graduate, or professional student in good academic standing.
• Minimum 8 hours per week required.
• Major must be related to the field (e.g., Biostatistics, Statistics, Computer Science, Data Science, Biomedical Engineering, or related).

Desired Skills, Experience, and Abilities

• Master’s student preferred in Biostatistics/Statistics, Computer Science (programming-focused), Data Science, or related field.
• Demonstrated proficiency in SAS or R for data manipulation and visualization.
• Knowledge of RECIST 1.1 concepts and oncology clinical endpoints is a plus.
• Familiarity with clinical data standards (CDISC SDTM/ADaM), especially tumor assessment structures (TR/TU/RS or ADTR/ADRS), is a plus.
• Experience creating analytical visualizations/dashboards (e.g., ggplot2, plotly, R Shiny, SAS Visual Analytics) is desirable.
• Good written and oral communication skills in English; ability to collaborate in a cross-functional team.

What You Will Gain

• Hands-on experience applying RECIST 1.1 to real-world clinical trial data.
• Practical skills in building validated R/SAS tools for data quality and visualization.
• Exposure to oncology data standards and cross-functional collaboration.
• Mentorship and presentation experience.