Sanofi's FFIP QS department needs to optimize production cycles and equipment performance by turning data into actionable insights, enabling data-driven decisions for improved quality and reduced event recurrence.
Requirements
- 0-2 years’ experience in object-oriented programming languages including Python, R, and one or more object-oriented languages.
- 0-2 years’ experience of one or more data visualizations tools such as Power BI, R libraries, Python libraries, SeeQ, etc…
- Experience with relational databases such as SQL.
- Experience with cloud technologies, cloud application deployment, and web development framework (AWS a plus)
- Exposure to statistical programming languages such as SAS, JMP, R, etc…
- Command line skills (bash, windows, Linux)
- Familiarity with biologic processes is a plus
Responsibilities
- Assist in solving process related problems by ensuring the collection, management, and analysis of quality data.
- Conduct quality assurance of collected data and expand the core concepts of data governance within the organization.
- Responsible for automating data pipelines and creating dashboards/reports that will help stakeholders make data-driven decisions.
- Assist with activities such as Statistical Process Control, data mining, and process modeling.
- Provide support for internally managed servers.
- Participate in modeling initiatives through data acquisition and visualization of key results AND life cycle improvements of existing vaccines processes.
- Support the global evolution of data science and support its implementation at the site.
Other
- BS in Data Science, Computer Science, Operational Research or other related field
- 0-2 Year is Pharmaceutical Industry experience
- Promote innovation at the site.
- 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.
