Data Scientist for Drug Development Business Unit

vor 4 Wochen

Basel, Schweiz FLEXSIS Vollzeit
EINFÜHRUNG:
For our client, a globally active and listed biotechnology and pharmaceutical group, we are looking for aData Scientist for Drug Development Business Unit

The start date as soon as possible or by mutual agreement. This is a full-time position with 1-year duration and possible extension. Home office: max. 40%.

AUFGABENBESCHREIBUNG:
  • Analysis, integration, and visualization of immune repertoire sequencing (BCR-seq, TCR-seq), transcriptomics (RNA-seq, scRNA-seq, spatial), and other types of omics data (e.g., genomics, proteomics).
  • Application of modern biostatistics and machine learning methods to high-throughput molecular and clinical data.
  • Contextualization of results from omics experiments, including correlation with clinical endpoints and phenotypes, generation and comparison of molecular signatures, pathway- and network- level analyses.
  • Communicating with and presenting your work to a diverse audience of biologists, clinicians and data scientists.
ERFORDERLICHES PROFIL:
  • PhD in bioinformatics, computational biology, biostatistics, data science, biomedical informatics or a related field, followed by 2+ years of postdoctoral experience in academia or the pharmaceutical/biotechnology industry.
  • Excellent knowledge of computational methods for the analysis, integration and interpretation of immune repertoire sequencing (BCR-seq, TCR-seq), transcriptomics (RNA-seq, scRNA-seq, spatial) and other omics data types.
  • Excellent skills in data analysis, data visualization and statistical programming in R/Bioconductor and/or Python, plus strong familiarity with related web development frameworks (e.g., Shiny, Dash).
  • Demonstrated experience with the application of supervised and unsupervised machine learning methods to biomedical data.
  • Familiarity with Linux/Unix command line and high-performance computing environments.
  • Sound understanding of biology and immunology, ideally in the context of translational and/or clinical research.
  • Excellent communication skills and knowledge of English (oral and written).


Application process:
Interested? You can find more information here:

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