mRNA - Senior Data Scientist - Vaccine

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, Database, Framework, SQL, AWS, Machine learning techniques, Data science techniques, Data Visualization, NumPy, Pandas, R Programming, Algorithms, Data pipelines, Data Analysis

Job Description

At Sanofi, we chase the miracles of science, and we know mRNA has a role to play in the future of health. And while the pandemic has shaken up our industry, creating new opportunities and risks, we believe the acceleration of innovation with mRNA technology means vaccines and treatments for more people faster than before.

That’s why we’re looking for bold, optimistic world-changers to join our mRNA Center of Excellence. We’re investing €400m a year into the new Center, hiring a team of 450 dedicated employees, and focusing on implementing an integrated end-to-end mRNA vaccine capabilities and research with R&D, digital and CMC teams.

Bring your ambition and optimism and join us on our journey to discover and deliver transformative medicine to patients through the advancement of our cutting-edge mRNA technology!

About the Opportunity

She/he will work as part of a global team of computational and scientific experts to develop and deploy model and analytical prototypes into maintainable, well-organized analytical software pipelines. She/he is expected to have breadth of knowledge and experience delivering insights through data processing, machine learning, statistical data analysis, data modelling and data visualization. She/he will be proficient in essential programming skills (e.g., in SQL, Python, R and the like) and have cloud computing experience (Ex. AWS, Google Cloud).

She/he will have substantial, real-world experience in data acquisition, harmonization, interrogation, and the design/deployment of high-throughput computational frameworks and be ready to hit the ground running in a tight knit, fast paced environment that rewards personal initiative, collaboration, and scientific excellence.

In this role you will

• Drive the development and evaluation of computational and statistical frameworks for data marshaling, computational interrogation, and visualization
• Develop, deploy, and maintain large-scale databases of vaccine-related data amenable to massively parallel (e.g. “in the cloud”) computational methods
• Develop, deploy and validate automated analytical and visualization workflows in support of vaccine R&D
• Collaborate internally to develop scientific hypotheses and drive scientific insights based on computational frameworks
• Demonstrate good software engineering practices, and apply across the research pipeline, from prototypes of new methods to mature and validated methods
• Maintain awareness of latest developments in relevant fields, evaluate and apply as warranted
• Generate IP and participate in the drafting of patent filings

About you

• Advanced degree in Computer Science, Computational Biology, Biostatistics, Bioinformatics or related field with preference given to those with substantial, real-world experience in data acquisition, harmonization, interrogation, and the design/deployment of battle-tested, high-throughput computational frameworks
• Experience with cloud computing and high performance computing environments
• Proficient with python and common data science/ML stack (numpy, pandas, sklearn)
• Proficient in machine learning and algorithmic analysis of data
• Excellent analytical and problem solving as well as communication, scientific writing and presentation skills
• Understanding of drug/vaccine discovery and development processes is a plus, as well as familiarity with RNA biology and RNA-centric techniques/methods