Scientist (Computational Chemical Biology and Fragment-Based Design), BII
Join to apply for the Scientist (Computational Chemical Biology and Fragment-Based Design), BII role at A*STAR - Agency for Science, Technology and Research
Scientist (Computational Chemical Biology and Fragment-Based Design), BII
Join to apply for the Scientist (Computational Chemical Biology and Fragment-Based Design), BII role at A*STAR - Agency for Science, Technology and Research
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Job Description:
We are looking for a highly motivated computational scientist with a deep understanding of chemistry, cheminformatics, and structural biology to develop new AI models for ligand discovery.
You will be working on a large collaborative project to build up A*STAR computational drug discovery capabilities.
The candidate is expected to be familiar with the latest generative models.
Familiarity with molecular dynamics simulations and docking software is a plus.
Job Description:
We are looking for a highly motivated computational scientist with a deep understanding of chemistry, cheminformatics, and structural biology to develop new AI models for ligand discovery.
You will be working on a large collaborative project to build up A*STAR computational drug discovery capabilities.
The candidate is expected to be familiar with the latest generative models.
Familiarity with molecular dynamics simulations and docking software is a plus.
Key Responsibilities:
- Develop and implement AI-driven models for ligand discovery, with a focus on generative models.
- Collaborate closely with multidisciplinary teams to integrate computational methods with experimental research.
- Contribute to advancing A*STAR computational drug discovery capabilities, applying cutting-edge techniques in molecular modeling, machine learning, and data science.
- Stay abreast of the latest developments in AI and molecular modelling.
- Communicate research findings effectively, both in written and oral formats, to diverse audiences including scientific teams and stakeholders.
Job Requirements:
- Master or PhD degree in life sciences, chemistry, computational biology, biomedical engineering, or a related discipline.
- Passion for science and research.
- Highly motivated.
- Proficiency in the use of machine learning frameworks (e.g. PyTorch, TensorFlow).
- Experienced in developing generative models.
- Strong knowledge of chemistry, cheminformatics, and structural biology.
- Experience in performing molecular dynamics simulations and docking is advantageous.
- A ble to work independently and as part of a team.
- Excellent written and oral communication skills.
Seniority level
Seniority level
Associate
Employment type
Employment type
Full-time
Job function
Job function
Research, Analyst, and Information Technology Industries
Research Services
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