We are seeking a passionate and innovative Deep Learning Research Engineer to join our interdisciplinary team of biologists and computer scientists from MIT, NUS, and NTU. You will pioneer AI-driven approaches to accelerate the discovery of new drugs and diagnostics, leveraging unique datasets and state-of-the-art technologies.
- 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.
Requirements
- Bsc or MSc 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.
Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.