About the role
Key Responsibilities role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
ResearchOnsiteAI in Drug Discovery
Key Responsibilities
- The Singapore national program for the utilization of Artificial Intelligence (AI) in Drug Discovery (AIDD), funded by the Singapore National Research Foundation (NRF) and hosted by the Singapore Agency for Science, Technology and Research (A*STAR) seeks a talented and motivated Scientific Platform Engineer to join our initiative.
- AIDD will develop novel machine learning models and algorithms towards the discovery and validation of drug targets, biomarkers, and molecular entities as therapeutics.
- As a scientific platform engineer, you will play a pivotal role in collaborating with scientific domain experts across AIDD to translate research prototypes and scientific workflows into a robust, scalable, enterprise-grade software system that is able to leverage various data modalities.
- This position is ideal for engineers who thrive in working across scientific disciplines, building infrastructure for data-intensive computational research to enable scientists and other end users to apply AI and computation at scale.
- Scientific Collaboration Work closely with principal investigators (PIs) and research teams across the AIDD organization to understand the computational and experimental workflows.
- Translate scientific requirements into robust software architectures and production systems.
Requirements
- Master's degree in fields such as: Computer Science, Software Engineering, Biomedical Engineering, Computational Chemistry, Bioinformatics, or related disciplines.
- Strong programming skills in languages such as Python, C++, JAVA, etc.