Java Programming, Design, Python Programming, SQL, Git, Machine learning techniques, Data science techniques, Data Visualization, Deep Learning, Docker, R Programming, Statistical modeling, Spotfire, Normalization, Data Analysis
In our fight against autoimmune diseases, we seek a computational biologist/data scientist to lead the RNASeq and multi-omics analysis efforts. In this exciting role as a part the interdisciplinary Immunology and Inflammation Therapeutic Area in Frankfurt you will perform data analysis of big datasets for drug discovery programs and the identification of novel targets. In this hands-on role you will need to design high content experiments, to manage data, and to use advanced analytical and computational techniques to advance our portfolio and biomarker strategy. The TA Immunology group in Frankfurt has extensive experience in immunology and autoimmunity and offers an excellent working environment and interacts very closely with the digital ecosystem of the German Hub. You will be part of a group of passionate scientists, mentored by different experts and closely collaborating within and across departments.
Main responsibilities
About you:
Pursue Progress. Discover Extraordinary.
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
Sanofi is comprised of three core business units: Specialty Care, Vaccines and General Medicines. Consumer Healthcare will become a standalone business unit. Around the world, more than 100,000 people at Sanofi are dedicated to making a difference in patients' daily lives, wherever they live, and enabling them to enjoy a healthier life.
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