This internship provides practical, supervised experience in data analysis and applied machine learning within a healthcare innovation environment
Job Summary
This internship provides practical, supervised experience in data analysis and applied machine learning within a healthcare innovation environment.
Interns receive structured onboarding, training, and regular mentorship from experienced colleagues and participate in team projects and knowledge-sharing sessions.
The role offers flexible working arrangements, mentorship, performance feedback, and access to learning resources and internal training.
Matching Summary
This internship provides practical, supervised experience in data analysis and applied machine learning within a healthcare innovation environment.
Skills & Requirements
Must-have
Python or R programming
Data cleaning and transformation
Exploratory data analysis
SQL for data extraction
Predictive and descriptive modeling
Data visualization techniques
Version control and reproducible notebooks
Nice-to-have
Machine learning coursework or projects
Familiarity with Jupyter Notebooks
Experience with Git and command line
Exposure to cloud platforms
Basic data engineering concepts
Strong curiosity and attention to detail
Good verbal and written communication
Key Requirements
Currently pursuing or recently completed relevant degree