Data scientist (m/f) 100%

  • Kinderspital Zürich
  • 8008 Zürich, ZH, Switzerland
  • 29/06/2022
Full time Data Science Big Data Statistics Biostatistics DevOps

Job Description

Job details

Job Type
Full-time
90-100%

Full Job Description

Your responsibilities

  • You analyse WGS, RNAseq, CHIPseq results to characterize and identify DMG-patient derived cell profiles and their response to radiotherapy or targeted therapy.
  • You harness cutting-edge research based on CRISPR screening to identify resistance mechanisms developed by DMG-patient-derived cells to identify new targeted treatment strategies based on approved drugs or novel compounds to specifically overcome resistance or consolidated standard treatment.
  • You collaborate with cross-functional teams from fundamental and genetic biology but also clinics in order to develop bioinformatic pipelines supporting personalized medicine.

Your profile

  • Ph.D or MsC in scientific field (biology, immunology, bioinformatics)
  • Expertise in analyse of biological data such as: proteomics, transcriptomics, metabolomics, screening, imaging.
  • Familiar with a programming language (e.g. Python or R) and with statistical approaches. Experience with deep learning/machine learning/AI is a plus
  • Native speaker or excellent oral and written communication skills in English

Kinderspital Zürich as an employer Kinderspital Zürich is the largest university children's hospital in Switzerland with about 2,500 employees, and is one of the leading centres for paediatric and youth medicine in Europe. Although the hospital may be big, it's the little ones that count: up to 100,000 patients are cared for each year across 47 faculties, where we do everything in our power to ensure their well being. 'Kispi' not only offers cutting-edge devices and the highest quality of care, but also a good sense of interpersonal issues. Alongside its comprehensive range of paediatric medicine and surgery facilities, the children's hospital also offers a unique rehabilitation centre and a research centre.

Soléne Fernandez
Postdoctoral researcher