-
synchronization, and at least one traditional high performance computing programming language (Fortran or C++). Preferred Qualifications: 8+ years relevant research experience beyond Ph.D. Experience with
-
++, Python, and Java. Basic binary literacy is important. This includes understanding how software is architected, language characteristics, binary formats, and operating systems. Familiarity with static and
-
Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
-
verbal communication skills are required to interact with colleagues, sponsors and vendor personnel; this includes a commitment to respectful and inclusive language. This job will regularly require
-
, Jenkins, Ansible, or Puppet. Moderate proficiency in at least one scripting language such as Bash, Python, or equivalent. Experience performing advanced troubleshooting and system administration with Linux
-
Research Scientist, Biostatistics and Biomedical Informatics for Population Health Sciences (Hybrid)
computing (HPC) and deep learning frameworks like PyTorch Experience developing parallel algorithms and scalable workflows for HPC resources. Experience with large language models, natural language processing
-
developing parallel algorithms and scalable workflows for HPC resources. Experience with large language models, natural language processing, and generative AI tools. Self-disciplined work ethic and eagerness
-
solutions to healthcare data. Experience with high performance computing (HPC) and deep learning frameworks like PyTorch. Experience with large language models, natural language processing, and generative AI