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Roche Summer Internship (REMOTE) - Algorithms and Advanced Analytics

Roche: 2024 Summer Internship (REMOTE) - Algorithms and Advanced Analytics

Roche Diagnostics is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalized healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management.

The Roche Diagnostics Algorithms and Advanced Analytics department develops advanced analytics support for diabetes management. This involves work in a variety of topics:

Using real world data to develop Virtual patient models

Developing models for use in diabetes management tools for patients 

Assessment of external technologies and/or demonstrating feasibility of novel devices.

This internship position is Fully Remote.

 

Key Responsibilities

Actively engage with the project team to discuss the project goals, tasks and set priorities. Perform independent data analysis and model building based on team priorities. Report on findings to the project team, department and R&D as needed.

Program highlights

  • Intensive 12 weeks full-time (40 hours per week), paid internship. 
  • Program start dates are May/June (Summer 2024).
  • This is a fully remote position.
  • A stipend, based on location, will be provided to help alleviate costs associated with the internship.
  • Ownership of challenging and impactful business-critical projects.
  • Work with some of the most talented people in the biotechnology industry.

 

Who You Are
Required Education

  • Must be pursuing a PhD graduate degree in Engineering disciplines, Physics, Computer Science and related fields with a strong data science background.
  • Will have completed at least two years of post graduate coursework at an accredited college/university.

 

Preferred Qualifications

  • Will have completed at least two years of undergraduate coursework at an accredited college/university.
  • Minimum availability of 12 weeks.
  • Experience with one or more of these methods: Univariate/Multivariate signal processing methods; Machine learning for regression, classification or recommendation; Synthetic data generation of time series (GANS, RNN, Gen-AI, etc); Physics-Informed Machine Learning; Federated Learning.
  • Proficient in Python and/or Matlab.
  • Excellent communication, collaboration, and interpersonal skills.
  • Ability to work with a diverse and multi-disciplinary team.
  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.