Drug Discovery Model Developer

1 day ago

Singapore beBeeResearch Full time

Job Description

Deep learning and artificial intelligence are revolutionizing drug discovery. However, current models fall short of harnessing the vast diversity of biological data being generated. This project offers an opportunity to develop groundbreaking multimodal models for drug discovery and healthcare. By combining cutting-edge machine learning and generative AI approaches— encompassing small molecule drug discovery, protein design, DNA and protein language models, genomic datasets, and electronic health records—we aim to create entirely new classes of AI foundation models that will revolutionize healthcare.

Key Responsibilities

  • Train advanced deep learning models to transform drug discovery.
  • Work with multimodal datasets, including drug screening results, genomic data, and electronic health records.
  • Contribute to the discovery of new antibiotics and the design of novel diagnostic tests.
  • Learn from and collaborate with experts in biology and computer science.
  • Present research findings and publish in leading journals.

Required Skills and Qualifications

We are seeking a passionate and innovative deep learning researcher to join our interdisciplinary team. You will pioneer AI-driven approaches to accelerate the discovery of new drugs and diagnostics, leveraging unique datasets and state-of-the-art technologies.

  • Bachelor's or Master's degree in Computer Science, Bioinformatics, or a related field.
  • Proven experience in training large deep learning models.
  • Familiarity with reinforcement learning, generative AI, or statistical modeling is a plus.
  • Experience with large biological datasets or healthcare records is desirable, but a strong willingness to learn is equally valued.

Benefits

This position offers the opportunity to work at the forefront of AI-driven drug discovery and healthcare. As a member of our team, you will be part of a dynamic and collaborative environment that fosters innovation and growth.

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