Full-timeTech & engineering· Posted 1 Oct

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

A*STARFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

You will join a project team of researchers from SingHealth, A*STAR and Synapxe building an AI-powered large language model platform. The platform uses routinely collected clinical data to help clinicians spot lower respiratory tract infection cases that do not need antibiotics. This role suits someone with a strong NLP and LLM background who wants their work to have a direct clinical impact.

What you'll do

Contribute to LLM development, with a focus on improving how unstructured data is processed for clinical and biomedical use.
Fine-tune and train LLMs such as LLaMA, Mistral, Phi and the GPT family using supervised and instruction-based datasets.

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Design and build pipelines for cleaning, preprocessing and tokenising large-scale text corpora.

Integrate retrieval-augmented generation and knowledge graph components for domain adaptation.

Assess model performance with BLEU, ROUGE, BERTScore and factual consistency metrics.

Develop optimised PEFT, LoRA and QLoRA fine-tuning frameworks that run efficiently on GPU clusters.

Work with researchers to design experiments, interpret results and publish findings.

Keep codebases, documentation and experiment logs reproducible.

Good to know

You will have access to high-performance GPU infrastructure.
The role involves interdisciplinary collaboration.
There is mentorship and the chance to publish, present at conferences and lead projects.

Requirements

Master's or Bachelor's degree in computer science, data science, artificial intelligence, computational linguistics or a related field
Strong experience in natural language processing, transformer-based models and text generation
Proficiency in Python, PyTorch, Hugging Face, Transformers and LLM fine-tuning libraries such as PEFT, DeepSpeed and bitsandbytes
Experience with text and data processing, including annotation, tokenisation and augmentation
Familiarity with vector databases such as FAISS and Qdrant, and with RAG pipelines
Understanding of GPU-based training, distributed model optimisation and experiment tracking tools such as MLflow and W&B

Benefits

Work on cutting-edge LLM research with measurable real-world impact
Access to high-performance GPU infrastructure and interdisciplinary collaborations
Mentorship and opportunities for publication, conference presentation and project leadership

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

About the role

What you'll do

Good to know

Requirements

Benefits

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