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

Genmab is an international biotechnology company focused on improving the lives of patients through innovative antibody therapeutics. They are seeking a Clinical Pharmacology and Quantitative Science Intern to support model-informed drug development by designing and prototyping an analytics platform during a 10-week summer internship.

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

Skills

• 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
• 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

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