John Lim

Undergraduate at NUS Chemistry

Singapore

About

Chemistry Undergraduate in National University of Singapore

Experience

  • Process Chemist at GSK
    Jun 2023 - Dec 2023 · 7 mos

    • Implemented process development and validation for an active pharmaceutical ingredient (API) product with 6 manufacturing stages intended for multiple myeloma patients. • Facilitated in the compilation of key documents for a new product introduction (NPI) in emerging markets. • Provided technical support for routine manufacture and troubleshooting of process issues in production buildings. • Coordinated a team of interns for the Sustainability Roadshow with an agenda to educate and promote key awareness.

  • National University of Singapore (11 mos)
    • Student Researcher
      Jan 2022 - Nov 2022 · 11 mos

      Project Title: Evaluation of Miniaturized Localized Surface Plasmon Resonance (LSPR)-Based Sensor for Iron detection in water samples • Implemented and optimized the chemical fabrication processes for the novel development of LSPR-based sensor • Designed hardware components using 3D CAD software and assembled 3D printed components for miniaturized LSPR setup • Programmed microcontrollers in C/C++ language to control light detector and electrical components required for optimal performance in LSPR-based sensor

    • Research Assistant
      May 2022 - Jun 2022 · 2 mos

      • Designed 3D hardware components using SOLIDWORKS to drop-cast a polymer dissolved in solvent onto multiple quartz crystal microbalance chips for trace analysis of heavy metals in water samples • Programmed microcontrollers for the automated system with the function to agitate the polymer solution and X- and Y-axle movement of a robotic arm with a syringe dispenser attachment

  • Student Researcher at National Taiwan University
    Jul 2021 - Sep 2021 · 3 mos

    Project Title: Characterisation of New Psychoactive Substances using Cheminformatics • Assisted a team of researchers working with Taiwan Food and Drug Administration to implement a computational chemistry software that will classify New Psychoactive Substances (NPS) according to their associated pharmacological features • Implemented a visualization tool using Python in RDKit to boost efficiency in generating the chemical structure to predict the physiochemical properties of NPS for its classification • Collated 450 NPS into 9 different classes