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Data Scientist (Expert PyTorch & LLMs training) - 100% Remote

Roles & Responsibilities

  • Proficiency with Python, PyTorch, Linux, Docker, Kubernetes, and Jupyter
  • Expertise in Deep Learning, Transformers, Natural Language Processing, and Large Language Models
  • Experience with genomics data and molecular genetics (preferred)
  • Experience with distributed computing tools like Ray, Dask, and Spark (preferred)

Requirements:

  • Train and evaluate transformers such as BERT and derivatives for genomics applications
  • 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

Job description


Data Scientist (Expert PyTorch & LLMs training) - 100% Remote
Duration: 12 Months Plus
Rate – DOE
Start Date – Immediately

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, and Spark.

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