Our research group, funded by Google, is seeking highly motivated candidates to join a project that leverages large language models (LLMs) to accelerate biological research.
The project focuses on using LLMs to support computation-driven discoveries in biology. In particular, we aim to
(i) Curate a large corpus of biological research papers and build a structured database of experimental data and results
(ii) Develop and benchmark retrieval-augmented generation (RAG) systems to identify related data, results, and explanations for specific research questions
(iii) Generate computational models and analysis code to simulate or interpret biological experiments
This project builds upon our recent publications
- LINE1 and PRC2 control nucleolar organization and repression of the 8C state in human ESCs (Developmental Cell, 2025)
- Epigenetic reprogramming of a distal developmental enhancer cluster drives SOX2 overexpression in breast and lung adenocarcinoma (Nucleic Acids Research, 2023)
Our long-term goal is to build a toolkit that helps biologists automatically create computational models that simulate biological processes such as transcription, epigenetic regulation, and metabolism. These simulations aim to accelerate the development of advanced therapies for cancer, aging, and neurodegenerative diseases.
Who should apply?
We welcome applications for both part-time positions (third- or fourth-year undergraduate students) and full-time roles. Ideal candidates will have:
- Excellent mathematical and programming skills (required)
- Familiarity with installing and benchmarking large language models (LLMs) on local systems
- A solid background in machine learning and natural language processing (NLP)
- Experience with cloud computing or high-performance computing environments
- Curiosity and enthusiasm for exploring biological research
Why join us?
- Opportunities to work on high-impact, real-world biomedical challenges
- Comprehensive training and mentorship to help you build your profile to apply for graduate schools or tech companies
- A collaborative and supportive research environment
- Competitive salary compensation and benefits.
How to apply?
Attach your CV, a brief statement of interest (one paragraph), an electronic copy of the transcript, and any relevant project/work samples to Interfolio
Fulbright University Vietnam is an equal opportunity employer that is committed to diversity and inclusion. All eligible candidates are encouraged to apply, regardless of race, gender, or sexual orientation.
