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 things simple.
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