Intern - Research - Drug Metabolism - AI
Core
Apply AI and machine learning to enhance scientific data analysis, interpretation, and workflow efficiency in Drug Metabolism and Pharmacokinetics (DMPK) applications.
Role type
Research intern (AI/ML for Drug Metabolism)
Builds
AI-enabled workflows, AI agents, and programmatic analytical pipelines for scientific data and research use cases.
Domain
Biopharmaceuticals / Drug Metabolism and Pharmacokinetics (DMPK)
Deliverable
production ML models
Required skills
Python, machine learning, statistical modeling, generative AI, large language models, retrieval-augmented generation, AI workflow or agent development, reproducible scientific computing, version control, data visualization, documentation
Preferred skills
LC-MS, mass spectrometry, proteomics, bioanalytical data, pharmacokinetics, PK/PD modeling, simulation, Visual Studio Code, Git, GitHub, GitHub Copilot, Claude Code, Microsoft Office
Technologies
Python, R, MATLAB, Visual Studio Code, Git, GitHub, GitHub Copilot, Claude Code
Responsibilities
Develop and evaluate reproducible AI-enabled workflows and agents; collaborate with DMPK and bioanalytical scientists to translate scientific questions into data-driven solutions; analyze DMPK datasets for accuracy and robustness; document code, methods, and model assumptions; present final work.
Seniority
Intern
