Category : Student Opportunities
We are looking for an intern to join an exciting, multi-disciplinary and multi-cultural team of scientists at Roche for an internship project in summer 2020. The focus of this project is to leverage advanced analytics/machine learning techniques to quantify and predict economic burden associated with cancer treatment, to inform Roche’s value-based healthcare initiative.
o Responsible for co-planning and executing the proposed project, leveraging healthcare claims data
o Perform high quality, timely and accurate analyses using most relevant state-of- the-art methodologies
o Identify additional research hypotheses and product opportunities based on study findings
o Communicate and present analysis results, adhering to industry standards
o Currently enrolled as a Master or PhD student with a background in epidemiology, economics, health service research, statistics/biostatistics or related disciplines (those graduating in 2020 will also be eligible)
o Hands-on research experience involving study design, statistical analysis and machine learning techniques in the context of healthcare. Experience in using claims data is a plus
o Working knowledge of the healthcare system and oncology care
o Proficiency with R or Python
o Excellent communication and presentation skills
o Able to work independently but also comfortable in a collaborative environment
Ideal start & end dates:
o The starting date of this internship is upon availability and it will ideally run for 6 months (length can be adjusted based on the candidate’s academic schedule).
Baiyu Yang, Senior Quantitative Scientist, Roche Diagnostics
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