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Career Advancement Programme in Drug Discovery Analytics

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Drug Discovery Analytics: This Career Advancement Programme accelerates your career in pharmaceutical research. Designed for scientists and analysts, this programme enhances your data analysis skills.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

Learn statistical modelling, machine learning, and cheminformatics. Master cutting-edge techniques for drug target identification and lead optimization. Gain practical experience through case studies and real-world projects. Boost your employability in the competitive biopharmaceutical industry. Advance your career with in-demand expertise. Transform your data into impactful drug discovery insights. Explore the programme today and register for our upcoming webinar!

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์–ด๋””์„œ๋“  ํ•™์Šต

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Advanced Statistical Modeling for Drug Discovery
  • Machine Learning in Drug Design & Development
  • Cheminformatics and Data Mining Techniques
  • Big Data Analytics for Drug Target Identification
  • Predictive Modeling in Drug Metabolism and Pharmacokinetics (DMPK)
  • High-Throughput Screening (HTS) Data Analysis
  • Regulatory Compliance and Data Integrity in Drug Discovery
  • Bioinformatics for Drug Target Validation
  • Clinical Trial Data Analysis and Interpretation

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Senior Drug Discovery Analyst (Biostatistics) Leads statistical analysis of clinical trials, utilizing advanced techniques in biostatistics for drug development.

High demand for expertise in clinical trial design and analysis.

Data Scientist, Drug Discovery Develops and applies machine learning algorithms to analyze large datasets, predict drug efficacy, and optimize drug discovery workflows.

Strong programming skills in Python/R are essential.

Pharmacometric Analyst Performs pharmacokinetic/pharmacodynamic (PK/PD) modeling and simulation to support drug development decisions.

Expertise in non-linear mixed-effects modeling is highly valued.

Computational Chemist (Drug Discovery) Applies computational methods to design and optimize novel drug molecules.

Requires strong understanding of molecular modeling and cheminformatics.

์ž…ํ•™ ์š”๊ฑด

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์‚ฌ์ „ ๊ณต์‹ ์ž๊ฒฉ์ด ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผ์„ฑ์„ ์œ„ํ•ด ์„ค๊ณ„๋œ ๊ณผ์ •.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN DRUG DISCOVERY ANALYTICS
์—๊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
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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