Scientist – AI in Drug Discovery, Laboratory of AI in Genomics

2 weeks ago

Singapur, Singapore A*STAR - Agency for Science, Technology and Research Full time

Overview

Join to apply for the Scientist, AI in Drug Discovery, Laboratory of AI in Genomics (GIS) role at A*STAR - Agency for Science, Technology and Research

The Genome Institute of Singapore (GIS) is the national flagship for genomic sciences, driving cutting-edge research at the intersection of biology, engineering, and medicine. This position is offered in the Laboratory of AI in Genomics, led by Prof. Mile Sikic, which uses advanced bioinformatics and deep learning approaches to develop next-generation models for genomic data analysis. We are group a of computer scientists with a mission to improve healthcare using advance deep learning models. Located in the heart of Singapore's thriving biomedical hub, GIS offers a dynamic and collaborative environment, with close ties to world-class universities (NUS and NTU), pharmaceutical companies, and biotech start-ups. Joining our team means working on transformative projects with real-world impact, while benefiting from Singapore's vibrant research ecosystem and strong support for innovation.

Job description

We are looking for a highly motivated postdoctoral researcher to:

  • Develop deep learning-based models for RNA structure prediction
  • Analyze chemical reactivity experimental data
  • Incorporate chemical reactivity experimental data into the structure prediction pipeline
  • Run large-scale training on high-performance computing infrastructure
  • Perform model finetuning and hyperparameter optimization
  • Evaluate models on experimental data
Profile / Qualifications

We welcome applications from candidates with:

  • A PhD in computer science, computational biology, computational chemistry, applied mathematics, physics, or a related field
  • Proven experience in deep learning research and development
  • publication record at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, etc)
  • Strong experience in Python programming and solid software engineering skills
  • Experience with biomolecules and/or high-performance computing is a plus
  • Interest in biology, biomolecules, or genomics (prior expertise not required)
  • A structured, independent, proactive and collaborative working style
We offer
  • A fully funded position with an internationally competitive salary
  • Professional development opportunities, including support for grant applications and participation in conferences and workshops
  • Access to state-of-the-art research infrastructure, including NSCC's high-performance computing clusters
  • A dynamic, interdisciplinary, and collaborative research environment
  • The position is initially offered for one year, with the possibility of renewal.
How to apply

We look forward to receiving your application with the following documents:

  • Letter of Motivation
  • CV
  • Diplomas & Transcripts

We accept applications submitted through our online application portal or via email directed to Prof. Sikic at

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