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Urgent! Scientist, AI in Drug Discovery (GIS) Job Opening In Singapore, Singapore – Now Hiring A*STAR
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 scientist 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.
Project background
The AI in drug discovery (AIDD) project focuses on developing innovative tools and technologies to accelerate drug discovery, with a particular emphasis on unlocking new druggable spaces, such as RNA-targeting molecules, for example.
With AI-driven strategies, AIDD aims to accelerate target identification to lead discovery while also advancing novel small molecules and other therapeutic modalities for next-generation drug development.
This project aims to develop novel deep learning methods for RNA tertiary structure prediction, inspired by the breakthroughs of AlphaFold in protein structure modeling.
We plan to design a robust framework that incorporates RiNALMo, our state-of-the-art RNA language model [].
Additionally, we will investigate the integration of chemical reactivity measurements to enhance accuracy.
Such data, closely tied to RNA's 3D structure, offers valuable information on secondary structure elements, base-pairing, and conformational flexibility.
By leveraging these inputs, our approach seeks to bridge the gap between computational and experimental methods, with significant implications for RNA drug discovery.
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
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 mile_sikic@a-star.edu.sg.
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Unlock Your Scientist AI Potential: Insight & Career Growth Guide
Real-time Scientist AI Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Scientist AI in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 3595 jobs in Singapore and 3360 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Scientist AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! A*STAR is currently hiring and seeking a Scientist, AI in Drug Discovery (GIS) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at A*STAR adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Scientist, AI in Drug Discovery (GIS) Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Scientist, AI in Drug Discovery (GIS) typically include Life Scientists and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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