Multimodal Research Scientist
il y a 11 heures
**About the role**:
**In particular, you will**:
You will:
- Develop and lead the implementation of strategies to align foundation models across different biological modalities, including but not limited to genomics, proteomics, single-cell omics and computational histopathology
- Conduct methodological research for the pre-training and alignment of biological foundation models, targeted at taking advantage of the particular structures and connections between different biological scales
- Conduct the evaluation of multimodal biological foundation models, up to and including the design of novel evaluation tasks and relevant downstream analyses
- Write scientific publications and patents
Depending on your level of experience, you will have the opportunity to supervise a team and lead ambitious projects.
**Who we are looking for**:
- a PhD in machine learning, or equivalent experience
- a strong command of coding in python and related programming best practices. Experience with deep learning frameworks (e.g., Tensorflow, PyTorch, Jax)
- a passion about the intersections of healthcare/biology and AI
- demonstrated expertise in representation learning/large language models/generative AI, including scientific publications at top ML conferences (NeurIPS, ICLR, ICML,) or high-impact ML journals (JMLR, TMLR,...),
- similarly, demonstrated expertise in the alignment of foundation models across different modalities (text, image, audio, video, etc.). Excellent written and oral communication skills
**Ways to stand out**:
The following are not necessarily required, but would be a plus:
- Prior experience working with biological data.
- Experience with the curation and analysis of multimodal data.
- Hands-on experience implementing custom models with a deep learning framework (PyTorch, Jax,)
LI-SF1
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