Senior Machine Learning Scientist for Healthcare Data Analysis
vor 1 Monat
At Biomedical Data Science Lab (BMDS), we are seeking a highly skilled Machine Learning Scientist to join our team and contribute to the development of cutting-edge machine learning models for healthcare data analysis. As a key member of our team, you will be responsible for reviewing the latest machine learning literature on time series data processing and prediction tasks in intensive care units.
In this role, you will use data from national projects on sepsis and publicly available ICU datasets such as MIMIC IV, HiRID, and eICU to develop deep learning models for predicting health outcomes, including sepsis onset, mortality, and kidney failure, using multimodal time series data.
You will also improve these models with personalization techniques and report your findings in research publications.
This is an excellent opportunity to work at the forefront of machine learning and healthcare data analysis, leveraging your expertise to drive innovation and improve patient outcomes.
Key Responsibilities:
- • Review and analyze the latest machine learning literature on time series data processing and prediction tasks in intensive care units
• Develop deep learning models for predicting health outcomes using multimodal time series data
• Improve models with personalization techniques
• Report findings in research publications
Qualifications:
We are looking for a candidate with a strong background in machine learning and deep learning, preferably with a Master's degree in Computer Science, Data Science, or related fields.
The ideal candidate will have experience working with large datasets, high-performance computing environments, and Linux operating systems, as well as proficiency in programming languages such as Python.
Experience developing machine learning and deep learning models using frameworks like TensorFlow and PyTorch is highly desirable.
Excellent written and oral communication skills in English are essential, as you will be working collaboratively with our team and presenting your findings in research publications.
A willingness to learn about biomedical applications of machine learning and deep learning models is crucial, as is the ability to work independently and collaboratively in a team environment.
We offer a competitive salary of $120,000 - $150,000 per year, commensurate with experience.
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