Internship, Roche

Internship, Roche

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.

Job description:

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

Qualifications:

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).

Contact:

Baiyu Yang, Senior Quantitative Scientist, Roche Diagnostics

baiyu [dot] yang [at] roche [dot] com


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