Switzerland Job Openings
Centre hospitalier universitaire vaudois
Senior Data Scientist for the Biomedical Data Science Center (BDSC)
Lausanne
FULL TIME
September 19, 2024
Contexte
The Lausanne University Hospital (CHUV) is one of five Swiss university hospitals. Through its collaboration with the Faculty of Biology and Medicine of the University of Lausanne and the EPFL, CHUV plays a leading role in the areas of medical care, medical research and training.
The mission of the Biomedical Data Science Center is to develop and apply (in collaboration with researchers and clinicians) computer and statistical methods to analyze large amounts of genomic, clinical and experimental data (e.g., single-cell RNAseq, spatial transcriptomics, etc) in order to accelerate medical discoveries that will help us treat our patients better. You will have the opportunity to collaborate with a dynamic and growing team. You will also have the opportunity to support major national and international scientific collaborations relating to important medical problems (cancer, COVID, HIV, etc.).
Mission
- You will delve into applied problems in translational immunology from a data analysis, as well as computational methods development, perspective
- You will collaborate with basic scientists and clinicians to take advantage of large datasets generated by novel experimental technologies to accelerate translational discoveries across the CHUV community and partner institutions
- You will work on developing consistent and highly optimized workflows across projects to enable cross-data set and multi-modal analyses
- You will help disseminate scientific findings through publications and presentations at national and international conferences
- You will integrate a growing team of computational scientists including postdocs/students, data scientists and programmers
- You will help supervise data scientists, Master students, Ph Ds and Post Docs
- You will actively participate in the CHUV's digital transformation and help building an infrastructure that will facilitate access to CHUV data and that will allow for data-driven research projects.
Profil
- Ph D required
- You have extensive experience (minimum 3 years) working with large biological datasets (single-cell RNAseq, CITE-seq, spatial transcriptomics, etc.)
- An experience with data management, multi-modal datasets, and machine learning/statistics is a plus, along with an interest in working collaboratively, teaching and learning from both data scientists and wet-lab biologists
- Fluent in R and/or Python
- Experience in using a high-performance computing environment (local cluster or cloud)
- Knowledge of Unix/Linux
- A very good understanding of cancer immunology and a keen interest in immunotherapies
- Excellent analytical, communication and organizational skills
- Capacity to work collaboratively with other team members and researchers, but also to progress independently to achieve project targets
- Supervisory experience
- Creative thinking
- Fluent in English, knowledge of French would be a plus.
Nous offrons
The Lausanne University Hospital is located in the vibrant city of Lausanne, one of the most cultural and economic dynamic cities in Switzerland. Our new center is part of the main Hospital campus, and benefits from direct interactions with scientists and clinicians located here (including at the new AGORA cancer cluster). We are also two metro stations from the Biopole life sciences campus that hosts a large number of research groups and life sciences companies. You will work in a fantastic environment where fundamental and clinical research meet to accelerate new breakthroughs that will ultimately transform patient care. Our organization aims to make the world a better place, and we strongly believe in healthy work-life balance. As a group, we value inclusion and a diversity of backgrounds and perspectives to inform our work. We believe in supporting each other through mentorship and providing resources for professional development.
To become an employee of the world-famous University Hospital Center from the Canton of Vaud is an assurance of :
- First-rate social benefits such as a Paternity Leave of 20 days and a Maternity Leave of 4 months (there is also the possibility to obtain a complementary breastfeeding leave of 1 month)
- Regular salary progression adapted to your responsibilities
- A 13th salary and 25 days of vacations per year
- A right to at least three days of training per year, by accessing a wide offer of courses not only from the CHUV Training Center but also from external providers
- Possibility to access one of the 500 furnished apartments offered in the surrounding neighborhoods in case of relocation in Switzerland
- Discounts proposed on social and cultural events, goodies and other services, thanks to the “H-Oxygène” association
- Signing up to our Mobility Plan and benefit from different advantages (discounts on public transportation, promotion of “Mobility” car fleet and discounts on electric bikes)
- Being able to enjoy our high-quality corporate restaurants, located in every hospital building, with employees’ discount.
Contact et envoi de candidature
Contact person in case of questions about this role : bdsc.info@chuv.ch
All of our applications are processed electronically. For this reason, we kindly ask you to apply exclusively by clicking on the APPLY button at the bottom of the advertisement.
Should you experience any problems with your application, you can consult our document "how to apply online". In case of technical issues, you can contact our Recruitment team who will help you (e.recrutement@chuv.ch / +41 21 314 85 70)
The CHUV applies the highest quality requirements as part of its recruitment process. In addition, mindful to promote workplace diversity and inclusion we strive to ensure equal treatment and avoid any discrimination. We are looking forward to receiving your application.
We would like to inform external recruitment agencies that any application inserted directly on our recruitment platform won’t be accepted and cannot be charged. Thank you for your understanding.
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