Data Scientist, Intern

You are responsible for

- Execute comprehensive data analysis and develop predictive models, utilizing advanced statistical and machine learning techniques.

- Develop Minimum Viable Product (MVP) applications encompassing the spectrum from model development to model deployment. Engineer scalable, flexible, and robust APIs that facilitate the seamless integration of AI capabilities into applications.

- Enhance model performance regarding efficiency and resource utilization, tailored to business requirements.

- As a project team member, conduct industrial research and provide substantive contributions to projects as required.

To succeed in this role, you should have the following skills and experience

- Currently pursuing a Master’s or PhD in Computer Science, Biomedical Informatics, Biomedical Engineering, or related fields.

- Strong understanding of medical terminology, clinical workflows, and healthcare systems.

- Experience in Python, C++, JavaScript, Go, R, or any other programming language.

- Experience in SQL, NoSQL, Graph, or Vector Database.

- Experience in NLP toolkits (e.g., NLTK, spaCy, SentenceTransformers) or deep learning frameworks (e.g., PyTorch, Tensorflow, Keras, etc).

- Fluency in both written and spoken English and Chinese.

- Strong analytical and problem-solving skills, with the ability to think creatively and propose innovative solutions.

- Has a basic understanding of computer vision, large language models, or machine learning technologies.