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
Company Overview