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AI in Drug Discovery

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´ÙÀ½°ú °°ÀÌ ±¹³» À¯¸í ¹ÙÀÌ¿À Á¦¾àȸ»ç¿¡¼­ 'AI Engineer, AI in Drug Discovery' ¸¦ ã½À´Ï´Ù.
* Job Title: AI Engineer, AI in Drug Discovery
* Experience: 3³â ÀÌ»ó
* Location: º»»ç (°æ±â)

[ROLE DESCRIPTION]
- Design and implement AI solutions tailored to pharmaceutical and biotech applications.
- Identify and define areas within drug discovery that can be addressed and optimized through AI, leveraging an understanding of the discovery process to solve key challenges.
- Stay informed about the latest AI trends and translate ideas into practical, well-designed solutions.
- Reproduce existing technologies when appropriate, adapt current solutions to new applications, and develop scalable systems that fit into R&D workflows.
- Apply suitable machine learning methods for small datasets and deep learning techniques for large-scale data, ensuring solutions are both effective and adaptable across different problem settings.

[QUALIFICATIONS]
- Education: Master¡¯s degree or higher in AI-related fields.
- Experience: At least 3 years of relevant experience.
- Skills: Proficiency in utilizing, modifying, and applying deep learning models, and developing necessary layers as required.
- AI research: Strong ability to understand and reproduce research papers (publication of relevant papers is a plus).
- Domain knowledge: Ability to quickly learn and understand the drug discovery domain and connect it with AI solutions.
- Other skills: Strong strategic thinking, problem-solving, interpersonal, and communication skills. Ability to excel in a fast-paced, startup-like environment with a focus on innovation and adaptability.
- English proficiency: Professional-level English communication skills is a plus.
- Track record: Experience in applying AI within drug discovery is advantageous.


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Á÷¹«±â¼ú: Deep Learning, AI°³¹ß, drug discovery, ½Å¾à°³¹ß


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