Postdoctoral Fellow in Biomedical Data Science

CHUV - Centre Hospitalier Universitaire Vaudois Lausanne

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  • Date de publication :

    08 mai 2024
  • Taux d'activité :

    100%
  • Type de contrat :

    Durée indéterminée
  • Lieu de travail :

    Lausanne

Postdoctoral Fellow in Biomedical Data Science

Recherche

Postdoctoral Fellow in Biomedical Data Science

In order to complete the team of the newly established Biomedical Data Science Center at the Lausanne University Hospital (CHUV), we’re looking for a Postdoctoral Fellow in Biostatistics, Computational Biology, or a related field who will work on developing and applying tools and methods for spatial transcriptomics data.

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, directed by Professor Raphael Gottardo, 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 (single-cell RNAseq, spatial transcriptomics, etc) in order to accelerate medical discoveries that will help us treat our patients better. The project offers the potential to collaborate with experts from different areas within the CHUV (medical oncology, dermatology, translational oncology, etc). We have a wide variety of projects in human immunology, infectious diseases (particularly COVID19, Malaria and HIV) and oncology.

Mission

  • Your primary mission with be the development of computational tools and methods for the analysis of spatial and single-cell transcriptomics data
  • You will collaborate with basic scientists and clinicians to take advantage of large datasets generated by novel experimental technologies (including Chromium, CytAssist, Xenium) to accelerate translational discoveries across the CHUV community and partner institutions
  • You will work on developing new statistical methodology and workflows to facilitate reproducible science and enable cross-assay and cross-study analyses
  • You will integrate a growing team of computational scientists including postdocs/students, data scientists and programmers
  • You help disseminate scientific findings through publications and presentations at national and international conferences.

Profil

  • PhD in Biostatistics/Statistics, Computational Biology or related field
  • You have extensive experience working with large biological datasets (single-cell RNAseq, spatial transcriptomics, CyTOF, CITE-seq, etc…)
  • An experience with data management and multi-modal datasets 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 C/C++. Knowledge of statistical concepts and computational methods. Knowledge of Unix/Linux and high-performance computing, a plus.
  • Fluent in English, knowledge of French would be a plus
  • Team player
  • Good communication skills
  • Creative thinking.

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 for information on the function : bdsc.info@chuv.ch

As our applications are processed electronically, would you please apply exclusively by internet, with the « POSTULER » button, at the bottom of the ad. If for any technical reason, you are not able to do it, we invite you to contact our recruitment team, which will assist you (contact : 021.314.85.70).

The CHUV applies the highest quality requirements as part of its recruitment process. In addition, mindful to promote the diversity of our employees we are attentive to the different life courses and strive to ensure equal treatment and avoid any discrimination. We are looking forward to receiving your application.

We thank in advance the employment agencies to take note that applications inserted by them directly on our recruitment platform are not accepted and cannot be billed. Thank you for your understanding.

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