Your role:
As a Summer Intern in Data Science & AI, you will be engaging in a project that aims to leverage large language models (LLMs) to generate clinical notes summarizing calcium scorings. You will collaborate with our clinical specialists and data scientists to develop and evaluate metrics for the automatic generation of these clinical conclusions. The project will involve creating evaluation models, improving prompts, and exploring different LLMs, with the end goal of enhancing the accuracy and reliability of automated clinical notes.
You're the right fit if: (4 x bullets max)
Currently pursuing or recently completed a Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, or a related field.
Strong analytical and problem-solving skills.
Proficient in programming languages such as Python; experience with libraries like Hugging Face Transformers is a plus.
Good understanding of machine learning fundamentals and techniques.
Knowledge of evaluation metrics for model performance.
Excellent communication skills and ability to collaborate effectively with cross-functional teams.
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. This role is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.