Intern. Biostatistics | Princeton, New Jersey, United States | Genmab

Position:	Intern. Biostatistics
Institution:	Genmab
Location:	Princeton, New Jersey, United States
Duties:	Assist in the design and development of data science projects, focusing on large language models; Conduct data cleaning, preprocessing, and analysis to prepare datasets for training and testing models; Support the development and tuning of machine learning models, including but not limited to natural language processing and generation; Collaborate with the team to integrate LLMs into our products and services, ensuring they meet project specifications and user needs; Participate in research and review of the latest literature on machine learning and LLMs to propose improvements to current projects
Requirements:	Currently enrolled in or recently graduated from a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, or a related field; Strong foundation in machine learning, natural language processing, and statistical analysis; Experience with programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, or similar; Familiarity with data manipulation and visualization tools (e.g., Pandas, NumPy, Matplotlib)

Text:	Intern. Biostatistics Assist in the design and development of data science projects, focusing on large language models; Conduct data cleaning, preprocessing, and analysis to prepare datasets for training and testing models; Support the development and tuning of machine learning models, including but not limited to natural language processing and generation; Collaborate with the team to integrate LLMs into our products and services, ensuring they meet project specifications and user needs; Participate in research and review of the latest literature on machine learning and LLMs to propose improvements to current projects Currently enrolled in or recently graduated from a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, or a related field; Strong foundation in machine learning, natural language processing, and statistical analysis; Experience with programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, or similar; Familiarity with data manipulation and visualization tools (e.g., Pandas, NumPy, Matplotlib)