To build next-generation machine learning algorithms for health insights and ensure the accuracy and actionability of the information provided.
Requirements
- PhD/Master's degree in machine learning, artificial intelligence, data science, computer science, biomedical engineering, electrical engineering, biostatistics, or a related field
- Solid programming skills in Python and SQL
- Experience with machine learning and deep learning, especially with time-series or biosignal data
Responsibilities
- Apply state-of-the-art deep learning and generative AI algorithms
- Build large-scale machine learning pipelines on health data
- Deliver robust statistical analyses of machine learning models and algorithms
- Document, summarize, and present data analysis and algorithm performance results
Other
- Completed all but the last year of PhD/Master's degree
- Self-driven, motivated, and able to work independently and adapt in a dynamic environment
- Can communicate effectively and work collaboratively, even in a remote setting
- Paid sick leave and parental leave
