Full Time / Lausanne
The CHUV is a key player in medical care and biomedical research both at national and international levels.
The mission of the Data Science & Research (DS&R) team, part of CHUV Department of Information Systems, is to foster the adoption and use of data science within the hospital to significantly improve biomedical research and hospital key processes.
Every day, a massive volume of clinical data is generated within the hospital and available on the analytics platform. In order to use this data, The DS&R team is developing the analytics platform for running data science projects in the field of clinical research with physicians and scientists. Our current and future challenges lie at the intersection of big data, medical informatics, data protection and artificial intelligence.
The DS&R team, based in Lausanne, is composed of data scientists, data analysts, project managers, data protection experts and is now looking for a skilled Data Scientist.
You are passionate about applying data science to enable data-driven decision-making, finding data patterns and understanding large data trends. Excited to work in the medical field, you will be responsible for creating machine learning solutions to optimize hospital processes and solve clinical research challenges working closely with physicians and scientists :
In your past experiences (2 to 4 years), you have acquired provable programming skills and a good track record in building machine learning models that you have applied to real-world large datasets. Particularly, you are familiar with the following data science techniques:
This position requires a MSc in Computer Science (PhD is a plus) and experience in the following:
Moreover, you foster a can-do attitude and work well in a cross-functional environment. You excel in communicating with team members, physicians and scientists.
You have an excellent command of the English language, both verbal and written. Please note that also a good working knowledge of French is mandatory to help you interact with end-users and peers.
Contact for further information : Mrs Nathalie Jacquemont : Nathalie.firstname.lastname@example.org
Applications should be submitted by our elecronic form only (please click the buttom "postuler" at the bottom of this vacancy annoucement). If for technical reasons you are unable to apply online, please contact the recruitment team 021 314 85 70.