Location: Zurich or Penzberg
Duration: 6 months
Hours: full-time
Roche is looking for an intern either pursuing, or recent graduates from an MSc/PhD degree with expertise in bioinformatics and advanced analytics to help us explore potential applications in healthcare. The intern will join an analytics and oncology team in the organization and work on an innovative project applying advanced analytics and machine learning approaches to the company's clinical, genomic, and diagnostic research data in oncology, thus investigating response to cancer immunotherapy.
We are looking for individuals who are:
- Creative problem solvers, quick learners and comfortable experimenting with new approaches
- Demonstrate high productivity and enjoy establishing and applying novel bioinformatic methods
- Possess passion and curiosity for understanding and interrogating complex data.
Responsibilities:
- Collaborate with the host team and other stakeholders to evaluate potential bioinformatic techniques and applications
- Design, build and interpret algorithms to address selected research questions (including preparing the input data)
- Proactively share learnings and knowledge to support the development of the wider Roche Advanced Analytics community
- Help shape the direction of bioinformatics, machine learning, and artificial intelligence within Roche
Experience and Competencies Preferred:
- Knowledge of a range of bioinformatic and machine learning techniques, and application to healthcare data
- Programming skills (e.g. R and/or Python)
- Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (HPC cluster computing)
- Interest in biological and clinical data
- Strong communication and collaboration skills
Qualifications Required:
- MSc/PhD degree candidate or recent graduate in Data Science-related field (e.g., Statistics, Bioinformatics, Biotechnology, Mathematics, Epidemiology, Computer Science)
