Internship In Innovation & Sustainability - For Students In The Field Of Computer Science, Data Science, Artificial Intelligence / Machine Learning, Statistics, Bioinformatics, Biomedical Engineering With A Focus On Data Analytics
Roche
Not specified (assumed flexible/hybrid based on industry norms).
Proficient in python pandas numpy scikit-learn
Strong sql skills for data extraction
Experience with supervised machine learning models
Roche is offering a global internship in Innovation & Sustainability for students in fields such as Computer Science, Data Science, and Biomedical Engineering, focusing on data analytics. The role involves contributing to projects that improve clinical trial readiness using machine learning and data analysis
Job Summary
This internship offers a unique opportunity to gain hands-on experience in the pharmaceutical industry while making a positive impact on the world.
You will contribute to a project focused on improving clinical trial readiness by using digital engagement signals to support smarter site selection.
Within your first 3 months, you are expected to help deliver an exploratory feature analysis, a machine learning classification prototype, and an interactive dashboard.
Matching Summary
Match Score: 85
Roche is offering a global internship in Innovation & Sustainability for students in fields such as Computer Science, Data Science, and Biomedical Engineering, focusing on data analytics. The role involves contributing to projects that improve clinical trial readiness using machine learning and data analysis.
Skills & Requirements
Must-have
Proficient in Python Pandas NumPy Scikit-learn
Strong SQL skills for data extraction
Experience with supervised machine learning models
Background in Computer Science or Data Science
Ability to design prototype dashboards
Nice-to-have
Familiarity with data storytelling techniques
Structured problem-solving approach
Interest in healthcare innovation
Curiosity for experimenting with new approaches
Key Requirements
Enrolled or completed studies within last 12 months
Field of study: Computer Science, Data Science, AI/ML, Statistics, Bioinformatics, Biomedical Engineering