To reinforce our team in Martigny, we are seeking a Postdoctoral.
Postdoctoral Position in Computational Biology (100%, funded)
80% - 100%
Type of contract
About the position: The Genomics and Health Informatics group at the Idiap Research Institute in Martigny (Switzerland) has availability for one fully funded postdoctoral candidate to join our efforts to develop a framework to enable easy implementation and evaluation of AS/APA methods to scRNA-seq and then test their utility to identify rare tumor subpopulation in advanced melanoma.
About the project: We are seeking a highly motivated, ambitious and talented scientist to join our efforts to refine the molecular characterisation of tumor composition and to provide with the high-resolution reconstruction of the seemingly homogenous tumor cell populations underlying heterogenous drug response in melanoma. The postdoc will develop specific and reliable biomarkers for improved patient stratification and tumor classification, and the understanding of the mechanisms responsible for therapy resistance, in particular for drugs in development in Novartis through the integrative analysis of clinical, images of hematoxilin and eosin stained tissue sections, and multiomics data (bulk RNA-sequencing, 10X Genomics single-cell sequencing, Smart-seq 3 full-length single-cell sequencing data, spatial transcriptomics. This position is in collaboration with the Novartis Institutes for Biomedical Research (NIBR, Basel) where the postdoc will have the opportunity to test the developed methods.
About our group: The Genomics and Health Informatics group develops computational models and statistical methods to interpret large-scale longitudinal data (e.g. transcriptomics, clinical, cellular imaging) to address biological questions related to human disorders. We seek to produce top notch science and foster the development of outstanding, independent scientists through nurturing mentorship and interdisciplinary, collaborative efforts. The group is an associated member of the National Center of Competence and Research (NCCR) RNA and Disease and is also part of the SIB Swiss Institute of Bioinformatics, offering various training possibilities as well as networking opportunities within the Swiss bioinformatics community.
For more information about our group: https://www.idiap.ch/en/scientific-research/genomics-and-health-informatics
The Idiap Research Institute
The successful candidate will join the vibrant Idiap research community of experts in artificial intelligence (AI). Idiap is a research institute affiliated with the Ecole Polytechnique Fédérale de Lausanne (EPFL) and Geneva University that offers an interactive environment in which you can broaden your horizon, develop new ideas and your independence, and grow as a scientist and a professional. The institute is located in Valais in the heart of the Alps (https://www.valais.ch/en/about-valais/living-and-working) with nature on its doorstep and urban centers easily accessible thanks to an established transport network, thus offering an ideal environment for pursuing top research while providing a superior quality of life and the perfect work-life balance. From family-run SMEs to large international groups, as well as from start-ups to innovative projects, Valais’s flourishing economy offers stimulating career prospects.
- PhD in bioinformatics, computational biology, signal processing, or related field.
- Strong mathematical and computational skills.
- Expert knowledge in Python, Linux and HPC computing environments.
- Proven ability to take ownership of a project and push it forward independently.
- Proactivity and excellent analytical, communication, and organizational skills.
- Outstanding writing and communication skills, with an ability to work both independently and within collaborative teams productively.
- Track record of productivity supported by accepted or in press first-author publications in peer-reviewed journals.
- Candidates do not necessarily have to have a biological background but should have a strong desire to directly work with experimental biologists.
- Good knowledge of English.
How to apply