Translational Medicine Senior Expert Data Scientis...

Galderma, the world's largest independent global dermatology company, was created in 1981 and is now present in over 100 countries with an extensive product portfolio of prescription medicines, aesthetics solutions and consumer care products. The company partners with health care practitioners around the world to meet the skin health needs of people throughout their lifetime. Galderma is a leader in research and development of scientifically-defined and medically-proven solutions for the skin. For more information, please visit www.galderma.com

This position is a highly visible role in Galderma R&D. In an innovative and dynamic environment, you will be attached to the Head of Translational Medicine and will be responsible for the leading various data science and bioinformatic activities for all clinical pipeline projects with the aim to delineate mechanism of action and to identify biomarkers.

• Manage a team of external data scientists, biostatisticians, and big data specialists
• Responsible for analyzing, visualizing and interpreting multidimensional omics data for all clinical pipeline projects
• Identify novel analytical techniques (including AI/ML approaches) towards defining mechanism of action and biomarker identification
• Define analysis strategy for pharmacogenomics, transcriptomics and proteomics analysis in all translational medicine studies
• Work in collaboration with TM team members for omics data interpretation and analysis
• Build data sharing platforms, analytic systems and predictive models
• Lead data science collaborations with several academic partners
• Author various documents including publications and clinical study reports as well as present data to key internal and external stakeholders
• Align data projects with organizational goals

• Advanced degree (Ph.D or M.S) in bioinformatics, statistics, data science or related fields
• Proven experience as a Data Scientist or similar role
• Good knowledge of R & Python
• Extensive experience in omics data analysis (including bulk and single cell transcriptomics, genomic variant identification and analysis, quantitative proteomics), visualization and interpretation
• Successful experience of multicultural teamwork and supervision of independent research
• Previous knowledge of experimental genomics, transcriptomics, proteomics as well as integrative omics analysis is extremely desirable
• Previous experience or working with academia including strong publication record would be desirable
• Innovation with a sharp and objective intellect, experienced in balancing strategic thinking with detailed analyses, interpretation and reporting
• Flexibility and ability to lead multiple projects in collaboration with various internal and external stakeholders
• Strong written and verbal communication skills, fluent verbal and written English
• Strong cooperative team player, ability to be flexible and adapt to a changing environment