About me
A highly-motivated and experienced data programmer, with 20 years of pharmaceutical industrial experience, Dr. Lin is specialized in NONMEM dataset creation, SDTM/ADAM dataset structure, regulatory required package assembly (e-submission package), PK/PD dataflow procedures (e.g. data collection via CRF, validation, data transfer and merging), and standard documentation (e.g. SOPs). She has also played key roles in training novice users.
In her career, Dr. Lin has supported the modeling community in both small molecules and large molecule projects in a broad range of therapeutic areas (e.g. oncology, immunology, vaccines, neuroscience and central nervous system). She oversaw the quality control of the NONMEM datasets, created numerous e-submission packages to support filing activities for PK and PD analysis (e.g. population modelling), wrote many SOPs and guidelines.
Additionally, Dr. Lin is a subject matter expert within the modeling community, collaborating with various internal departments/partners in many working groups providing data collection/formatting/representation related support, which promoted better understanding across different partner and contributed to cross-departmental standards for data flow processes.
Dr. Rachel Lin earned a bachelors in Biology at University of Science and Technology of China, a Masters in Chemistry from New York University, and a masters in Software Engineering from Brandeis University. Her broad academic background and technical mastery of computer sciences, makes Dr. Lin an invaluable asset to any drug development team.
