Fecha: 11 abr 2025
- Ubicación: SFEL - R&D; SANT FELIU DE LLOBR
**Responsibilities**:
- Perform analysis of large omics datasets from both internal efforts and public data, including proteomics, genomics, and transcriptomics datasets.
- Develop data visualization tools to enable interactive investigation and visualization of analysis results.
- Collaborate with scientists from Disease Biology to manage and design the generation and analysis of data for new relevant technologies, aiming to find new targets or support projects in the R&D; pipeline.
- Work with data engineers to define the main steps of omics data processing pipelines that are fit for purpose to the R&D; organization.
- Assist in the design of computational methods and visualization tools to generate actionable insights.
**Qualifications**:
- Bachelor's or Master's degree in Bioinformatics, Computational Biology, Computer Science, Engineering, Physics, Statistics, Maths, or Biology.
- Basic understanding of human pathophysiology, with a special interest in immunology and dermatology.
- Good communication skills to convey technical outcomes to non-technical colleagues.
- Experience with analyzing data from different omics techniques.
- Experience in the pharmaceutical industry or biotech is a plus.
- Programming skills in Python or R.
- Knowledge of statistics, especially when analyzing omics data.
- Experience with machine learning is nice to have.
**Values**:
- Care: we listen & empathize, we value diverse perspectives & backgrounds and we help each other succeed.
- Courage: we challenge the status quo, we take full ownership and we learn from our success & failures.
- Innovation: we put the patient and customer at the center, we create novel solutions and we empower entrepreneurial mindsets.
- Simplicity: we act decisively and avoid over-analysis, we understand why before we act and we are agile & keep thing simple.