AI Innovator – Transforming Drug Discovery through Machine Learning

3 days ago


Kozhikode, Kerala, India beBeeArtificialIntelligence Full time US$ 1,25,000 - US$ 1,75,000
AI Innovator Sought for Visionary Drug Discovery Initiative

We are seeking a visionary leader in artificial intelligence to architect, train and deploy machine learning models for protein–ligand structure prediction, de novo molecular generation and multi-objective optimization.

Key Responsibilities:
  1. Design and develop sophisticated machine learning algorithms for predicting protein–ligand interactions
  2. Develop and implement novel deep learning models for de novo molecular generation and multi-objective optimization
  3. Collaborate with cross-functional teams to integrate AI solutions into our drug discovery pipeline

As a key member of our team, you will be responsible for leading the development and implementation of cutting-edge AI technologies that drive innovation in our drug discovery efforts. If you have a passion for artificial intelligence and a vision for its application in transforming the field of drug discovery, we encourage you to apply for this exciting opportunity.

Required Skills and Qualifications:

  • Ph.D. or equivalent experience in computer science, bioinformatics, or a related field
  • Proven track record of developing and deploying machine learning models in industry or academia
  • Expertise in deep learning architectures and techniques, including but not limited to neural networks, transfer learning, and ensemble methods
  • Strong programming skills in languages such as Python or R, with experience in using popular machine learning libraries
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced team environment

Benefits:

Our company offers a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are passionate about AI and drug discovery, and are looking for a challenging and rewarding career opportunity, we encourage you to apply.



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