Research Officer (Large Language Models & Data Engineering), A*STAR BII

A*STAR RESEARCH ENTITIES

Singapore, Singapore
Not specified
Natural language processing expertise
Transformer-based model training
Python pytorch hugging face proficiency
A*STAR BII is seeking a Research Officer with expertise in Large Language Models (LLMs) and data engineering to contribute to an AI-driven project aimed at improving the management of lower respiratory tract infections. The role focuses on integrating LLMs for processing clinical text and enhancing decision-making to reduce unnecessary antibiotic prescriptions

Job Summary

  • The role involves building an AI-powered platform using Large Language Models to help clinicians identify cases of lower respiratory tract infections that do not require antibiotics.
  • Candidates will be responsible for fine-tuning models like LLaMA, Mistral, and Phi while designing pipelines for cleaning and tokenizing large-scale clinical text corpora.
  • The team offers access to high-performance GPU infrastructure, interdisciplinary collaboration opportunities, and mentorship for publishing findings at conferences.

Matching Summary

Match Score: 85

A*STAR BII is seeking a Research Officer with expertise in Large Language Models (LLMs) and data engineering to contribute to an AI-driven project aimed at improving the management of lower respiratory tract infections. The role focuses on integrating LLMs for processing clinical text and enhancing decision-making to reduce unnecessary antibiotic prescriptions.

Skills & Requirements

Must-have

  • Natural Language Processing expertise
  • Transformer-based model training
  • Python PyTorch Hugging Face proficiency
  • LLM fine-tuning with PEFT LoRA
  • RAG pipeline implementation

Nice-to-have

  • Biomedical domain adaptation experience
  • Multi-agent framework familiarity
  • Cloud computing AWS Azure knowledge
  • Prompt engineering skills
  • LLM safety evaluation background

Key Requirements

  • Master or Bachelor in Computer Science or related field
  • Strong experience in NLP and text generation
  • Proficiency in distributed model optimization

Work Rights

Not specified

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