Multimodal Deep Learning Scientist
6 days ago
This position offers an opportunity to push the boundaries of what is possible in drug discovery and healthcare using cutting-edge machine learning and generative AI approaches. By combining these techniques across various biomedical domains, we will create entirely new classes of AI foundation models that revolutionize healthcare.
We seek a researcher with expertise in deep learning and a passion for applying it to complex biomedical problems. As part of our interdisciplinary team, you will work on developing and training large deep learning models to accelerate the discovery of new drugs and diagnostics. This role requires collaboration with experts in biology and computer science, as well as the ability to work with multimodal datasets, including drug screening results, genomic data, and electronic health records.
- Develop and 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.
Requirements
- Ph.D. in Computer Science, Bioinformatics, or a related field.
- Proven experience in designing and 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.
About Us
The Singapore-MIT Alliance for Research and Technology Centre is an autonomous Institute of Nanyang Technological University (NTU) established by MIT International School. We aim to foster innovation and entrepreneurship through education, research, and technology transfer between Singapore and the world.
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