Project Scope And Brief Description
Next-generation Artificial Intelligence for Genomics will use more complex datatypes and be applied to new crop contexts. We need a Data Scientist with demonstrated expertise in training and evaluating transformers such as BERT and its derivatives.
Responsibilities: Improve the genomics LLMs for gene expression profiling by incorporating new sequencing data types, adopting new foundation models, and applying new finetuning techniques in LLMs. Develop the Generative AI tool for automated genome editing design based on the improved LLM.
Skills / Experience
Required: Proficiency with Python, pyTorch, Linux, Docker, Kubernetes, Jupyter. Expertise in Deep Learning, Transformers, Natural Language Processing, Large Language Models.
Preferred: Experience with genomics data, molecular genetics. Distributed computing tools like Ray, Dask, Spark.