With a unique legacy in dermatology as well as decades of cutting-edge innovation, Galderma is the leading company solely dedicated to skin and advancing the future of dermatology.
We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration.
Above all, they must be passionate about doing something meaningful for consumers, patients and the healthcare professionals we serve every day.
We aim to empower each employee and to promote their personal growth all the while ensuring business needs are met now and into the future.
Across our company, we embrace diversity and respect the dignity, privacy and personal rights of every employee.
At Galderma, we actively give our teams reasons to believe in our ambition to become the leading dermatology company in the world.
With us, you have the ultimate opportunity to gain new and challenging work experiences and create unparalleled, direct impact.
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 leading various data science and bioinformatic activities for all clinical pipeline projects with the aim to delineate mechanism of action and to identify biomarkers.
Lead omics analysis with 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
Previous experience in immunology or dermatology therapeutic areas preferred
Proven experience as a Data Scientist or in a 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 of working with academia including strong publication record would be desirable
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 cooperative team player, ability to be flexible and adapt to a changing environment
Strong written and verbal communication skills, fluent verbal and written English