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.