Position Details
About this role
This internship role involves developing and deploying clinical machine learning models using healthcare data, with a focus on productionization and operational support.
Key Responsibilities
- Build ML models
- Deploy models to production
- Handle large healthcare datasets
- Collaborate with clinicians and engineers
- Ensure model compliance and documentation
Technical Overview
The role requires expertise in Python, SQL, and ML tools like AWS Sagemaker, with experience in data mining, deep learning, and statistical programming within healthcare datasets.
Ideal Candidate
The ideal candidate is a graduate student or recent graduate with strong Python and SQL skills, experience in healthcare data, and familiarity with ML tools like AWS Sagemaker or Vertex AI. They should have a solid understanding of data mining, pattern recognition, and deep learning techniques, with a hands-on approach to deploying ML models in production.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of Python or SQL skills, No healthcare or lab data experience, No experience with ML deployment tools
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