Postgraduate Certificate in Drug Discovery Informatics

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Drug Discovery Informatics: Principles and Applications
  • Cheminformatics and Molecular Descriptors
  • Structure-Activity Relationship (SAR) Analysis and Modeling
  • Data Mining and Machine Learning in Drug Discovery
  • High-Throughput Screening and Data Analysis
  • Predictive Modeling for Drug Metabolism and Pharmacokinetics (DMPK)
  • Big Data Technologies in Drug Discovery
  • Intellectual Property and Drug Discovery Informatics
  • Drug Repurposing and Informatics

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Drug Discovery Informatics Scientist Applies computational and informatics methods to analyze biological data and accelerate drug discovery processes.

High demand for skills in cheminformatics and bioinformatics.

Bioinformatics Analyst (Drug Discovery) Focuses on analyzing large biological datasets (genomics, proteomics) to identify drug targets and predict drug efficacy.

Strong programming skills and data visualization expertise are crucial.

Cheminformatics Consultant Provides expertise in computational chemistry and drug design, consulting with pharmaceutical companies on projects related to lead optimization and virtual screening.

Deep knowledge of molecular modelling and QSAR is essential.

Data Scientist (Pharmaceutical Industry) Applies data science techniques to analyze diverse data sources within the pharmaceutical industry, supporting drug discovery efforts through predictive modeling and machine learning.

Expertise in statistical analysis and programming is vital.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
POSTGRADUATE CERTIFICATE IN DRUG DISCOVERY INFORMATICS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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