General Description:
Open to pharmaceutical scientists or AI engineers eager to apply advanced analytics to drive innovation in drug development

This internship program is to provide intern exposure to the field of clinical pharmacology and various modeling and simulation tools used to support drug development, including PBPK, scientific machine learning pharmacodynamic models and autoencoder generative machine learning model

Under the supervision of the manager, the intern will have an opportunity to apply AI/Machine Learning or Large Language Model to work with large clinical datasets, and to participate in developing a predictive model.

Develop proficiency in the use of software tools for the development of PBPK, PK/PD models and the R programming language for data management

 Attend Department meetings to gain exposure to drug development process

 Flexible start date

 Remote or on-site options available

Essential Functions of the Job: 
Literature review and data management: Review and capture literature source for used in the modeling; transform raw clinical datasets into a format that makes it valuable for downstream analysis.

Model development, verification and validation: learn how to develop semi-mechanistic models to support drug development; learn how to apply AI/large Language Model to support the analysis and reporting applicable in accelerated drug development.

Computer Skills:   Familiar with R or Python and experience in data analysis using AI/ Machine Learning and Large Language Model is a plus.

Other Qualifications:    Course work in AI and Data Science or Pharmaceutical Science