Certified Specialist Programme in Drug Discovery Modeling

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Drug Discovery & Modeling
  • Principles of Medicinal Chemistry & Drug Design
  • Molecular Dynamics Simulations and Drug-Target Interactions
  • Quantitative Structure-Activity Relationships (QSAR) and Predictive Modeling
  • In silico ADMET Prediction and Pharmacokinetics
  • High-Throughput Screening and Virtual Screening Techniques
  • Drug Discovery Databases and Cheminformatics
  • Advanced Modeling Techniques: Machine Learning in Drug Discovery

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Drug Discovery Modeler (Computational Chemistry) Develops and applies computational methods to design and optimize drug candidates.

Focuses on molecular modeling and in silico screening techniques.

High demand in the UK pharmaceutical industry.

Biostatistician (Pharmaceutical Data Science) Analyzes clinical trial data using statistical modeling techniques to assess drug efficacy and safety.

Expertise in statistical modeling and data analysis crucial.

Significant career growth opportunities.

Machine Learning Engineer (Drug Target Identification) Applies machine learning algorithms to identify potential drug targets and predict drug activity.

Strong programming skills and experience with AI/ML methodologies are essential.

Pharmacometrician (Pharmacokinetic/Pharmacodynamic Modeling) Develops and analyzes pharmacokinetic and pharmacodynamic models to understand drug absorption, distribution, metabolism, and excretion (ADME).

Expertise in pharmacokinetic/pharmacodynamic modeling and nonlinear mixed-effects modeling .

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFIED SPECIALIST PROGRAMME IN DRUG DISCOVERY MODELING
์—๊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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