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Principal Data Scientist Bioinformatics
hace 4 meses
Fecha: 10 may. 2024- Ubicación: SFEL - R&D SANT FELIU DE LLOBR**Mission**:
**Tasks and responsabilities**:
- Perform state-of-the-art analysis of large omics datasets from both internal efforts as well as public data. These include but are not limited to proteomics, genomics, transcriptomics datasets.
- Lead and establish collaborations with academic partners and external companies to provide new insights to the Almirall R&D organization.
- Enable interactive investigation and visualization of data analysis results by developing the appropriate data visualisation tools.
- Work closely with the Director of R&D Data Science to establish project prioritization of computational biology work packages.
- Spearhead the implementation of the R&D Data science strategy for the Computational Biology and Bioinformatics team.
- Lead and develop the implementation of relevant data analysis pipelines in close collaboration with the Data Engineering team.
**Eduaction and Experience**:
- Scientific degree in computational biology or bioinformatics or related fields (preferably PhD) with at least 5 years of postdoctoral experience or equivalent.
- In-depth experience of leading bioinformatic analyses for R&D projects in a pharmaceutical industry setting.
- Experience leading the development of bioinformatic tools and/or algorithms.
- Experience working with inflammatory skin disease, skin cancer and orphan skin disease research is a plus.
**Specific Knowledge**:
- Proficiency in R and/or Python
- Previous knowledge of running and developing bioinformatics pipelines using Nextflow
- Proficiency in the analysis, statistics and visualization of a range of datasets, including genomics, transcriptomics and proteomics data is essential. Experience working with single cell RNA-seq and different sequencing technologies is highly desirable.
- Expertise with code repository software (e.g. git) and docker.
- Hands-on experience in running bioinformatic analyses in the cloud and/or HPC
- Track record of successfully completing projects from initial data analysis to generation of testable hypothesis leading to identification of new targets or pathways is a big plus.
**Values**:
- Care
- Courage
- Innovation
- Simplicity
