Bioinformatics Data Scientist
Ver: 157
Dia de atualização: 25-04-2024
Localização: Basel Basel-Stadt BS
Categoria: Alta tecnologia Mecânico / Técnico Elétrica / Eletrônica IT - Software
Indústria: Research Services
Posição: Entry level
Tipo de empregos: Contract
Conteúdo do emprego
The Autoimmunity, Transplantation, and Inflammation (ATI) Disease Department at a bio/pharma company in Switzerland is looking for a curious and motivated Bioinformatics Data Scientist to work on the analysis, integration, and interpretation of multiple types of omics data collected as part of our clinical trials in dermatology and rheumatology.Responsibilities
- Contextualization of results from omics experiments, including correlation with clinical endpoints and phenotypes, generation and comparison of molecular signatures, Pathway- and network- level analyses.
- Application of modern biostatistics and machine learning methods to high-throughput molecular and clinical data.
- Analysis, integration, and visualization of different types of omics data, including genomics, transcriptomics, and proteomics.
- Communicating with and presenting your work to a diverse audience of biologists, clinicians, and data scientists.
- Excellent skills in data analysis, data visualization and statistical programming in R/Bioconductor.
- Experience with other Scripting languages (eg, Python) and/or web development (eg, Shiny, Dash) is considered a plus.
- PhD in bioinformatics, computational biology, biostatistics, data science, biomedical informatics, or a related field. Postdoctoral experience in academia or the pharmaceutical/biotechnology industry is considered a plus.
- Demonstrated experience with the application of supervised and unsupervised machine learning methods to biomedical data. Experience with deep learning methods and frameworks is considered a plus.
- Excellent knowledge of computational methods for the analysis, integration, and interpretation of multiple types of high-throughput biological data from sequencing and/or array-based technologies. Experience with the analysis of single-cell genomics data is considered a plus.
- Familiarity with Linux/Unix command line and high-performance computing environments.
- Sound understanding of biology and immunology. Previous experience in translational and/or clinical research is considered a plus.
- Excellent communication skills and knowledge of English (oral and written).
Data limite: 09-06-2024
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