About the Job

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

The Data and Computational Sciences group is a growing team within the Sanofi mRNA Center of Excellence (CoE). Our team is dedicated to bringing end-to-end data integration and advanced analytics (pre-clinical, biomarkers, process development, CMC, clinical) to the mRNA CoE. We are responsible for deploying and exploiting digital solutions (AI/machine learning, data, analytics) to integrate the full data value chain; extracting actionable information for a move to a full data driven strategy and decision-making process; and making data and insights accessible throughout the CoE. Our north star purpose is to increase the probability of success and to accelerate mRNA vaccines and therapeutics development and launch

• Lead product optimization and development, and coordinate information exchangebetweencross-functionalexperimental and computational teams
  
• Develop computational pipelines (e.g., with Nextflow, Snakemake, or WDL) for a variety of Research and Development applications, with particular focus on in vitro and in vivo mRNA screening assays; next-generation sequencing (NGS) data and analysis; and the design, assembly, and quality control (QC) of pDNA and mRNA vaccines and therapeutics
  
• Create both one-off and reusable scripts for exploratory analysis, QC checking, and assay assessment
  
• Document outputs/artifacts to enable usage/execution/understanding by other personnel
  
• Create compelling visual representations of data and analytics results in support of presentation, communication, and decision-making needs for key stakeholders
  
• Provide support for experimental results using data analytic and/or machine learning techniques
  
• Demonstrate good software engineering practices
  
• Represent the mRNA CoE Data and Computational Science team in platform and project technical teams as subject matter expert
  
• Proactively identify, assess, and internalize emerging technologies and methods
  

• Earned Bachelor or Master level degree in Computer Science, Bioinformatics, Computational Biology, or related field
• Have a basic understanding of different types of next-generation sequencing (NGS) assays
• Experience with NGS data/statistical analysis, with a preference for topics such as exploratory analysis and -omics data (e.g., ribosome profiling)
• Experience with machine learning, such as development of regression/classification models and deep learning models, is preferred but not required
• Familiarity with cloud and parallel computing
• Comfortable with one or more common data analysis and visualization platforms (e.g., R, RShiny, Python/pandas) and bioinformatics packages (Bioconductor, Biopython, etc.)
• Comfortable engaging with stakeholders from a variety of backgrounds and working collaboratively towards a common goal
• Adept at communication and adaptation
• Willing to train individuals and teams on your areas of expertise and on systems you build
• Fluency in English required; Fluency in French is a plus

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.