Data Science Intern-Shanghai

About our Company: Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to make a difference on patients daily life, wherever they live and enable them to enjoy a healthier life. As a company with a global vision of drug development and a highly-regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) in the R&D organization for drug discovery and development. Sanofi Institute for Biomedical Research (SIBR), located in Suzhou, China, is a newly established state-ofthe-art research facility dedicated to basic research and drug discovery, focusing on oncology, immunology, and inflammation. We look for students joining our summer internship program.
Qualifications & Requirements:

• Master's or PhD degree candidate in Bioinformatics, Computational Biology or Computer Science with concentration in biological research
• Proficiency in R and Python programming
• Experience with next-generation-sequencing analytics, such as RNA-seq
• Experience with single-cell seq is preferred
• Familiarity with concepts in machine Learning and statistical analysis
• Familiarity with Data Visualization

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.