Clinical Pharmacology and Quantitative Science Intern (Programming/Computer Science)

Genmab • Princeton, TX

38d • Hybrid

About The Position

The Clinical Pharmacology and Quantitative Science supports Genmab’s model-informed drug development by designing and prototyping a unified analytics platform during a 10-week summer internship. The intern will work closely with colleagues to develop a platform which integrates data ingestion, noncompartmental analysis (NCA), population PK model exploration and fitting, simulation, and exposure–response visualization. Working closely with partners both within Clinical Pharmacology and across other functions the intern will benchmark the prototype on an internal dataset to assess speed and usability, delivering a functional tool that accelerates exploratory analyses and supports decision making.

Requirements

• Enrollment in a Master’s or PhD program in Statistics, Pharmacology/Pharmacometrics, Computer Science, Bioinformatics, Biomedical Engineering, or a related field.
• Experience with open-source programming languages, such as R.
• Familiarity with GUI or dashboard development, such as Shiny
• Understanding of AWS
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a collaborative team.
• High attention to detail and commitment to quality work.
• Genuine interest in clinical research and drug development.

Nice To Haves

• Effective communication and collaboration skills
• Ability to work independently as well as within a collaborative and cross functional team
• Familiarity with clinical data and pharmacological modeling
• Attention to detail and strong documentation and writing skills

Responsibilities

• Design and prototype a modular PMX dashboard in R Shiny or Python Dash integrating data ingestion, NCA, popPK model exploration/fitting, simulation, and exposure–response visualization.
• Implement a stable, deterministic development environment making use of deterministic package implementation (i.e. RENV) and task runners (i.e. Make/targets) to improve reliability, reproducibility, scalability and efficiency of the overall workflow.
• Build data integration and I/O processes: standardized data ingestion, metadata/provenance capture, and reusable adapters for common clinical/PK file formats
• Design validation and testing strategy: unit, integration, and end-to-end tests (testthat).
• Design framework to enable rapid QC turn around of figures and tables produced
• Implement observability and performance practices: structured logging, robust error handling, profiling/benchmarking on an internal dataset, and UX responsiveness checks to meet practical performance needs.

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees