• Location: Budapest

About the job

The global CMC (Chemistry Manufacturing and Control) function is responsible for process development activities in R&D, designing appropriate control strategy to deliver processes of optimum product quality, supplying material for clinical trials and ensuring robust transfer of the process to our commercial organization.

The CMC-Data Science team supports all CMC functions regarding data analytics, from statistical methodologies to machine learning and process modeling.

The CMC organization is undergoing a substantial Digital Transformation, that is transforming our experimental workflow. The digitalization of the lab activities provides automated access to experimental data, contextualization and centralization of the data accessible to scientists across all CMC sites and functions.

As the experimental data becomes readily available, the data consumption strategy is taking a central role in the department, with a strong focus on data preparation, data flow and ETL, feeding applications developed in-house and commercial software used across CMC for data visualization, data modeling and advanced data analytics.

Main responsibilities:

• Create data flows to extract and prepare experimental data to be ready for consumptions by scientists and data scientists across CMC
• Manage the set of data flows for all major functions across CMC, ensuring expected experiment data is up to date, ready for consumption by in-house applications, dashboards and commercial software
• Support data extraction and data flow from development, deployment, and maintenance
• Define test strategy, test cases via test scripts and test executions
• Automate execution of tests to improve efficiency
• Complete documentation
• Analyze and correct issues with source data, working closely with the Digital Transformation team
• Onboard, train and support CMC scientists / data scientist with self-serve data preparation (SSDP) systems, such as Dataiku
• Act as expert and point of contact for scientists / data scientists using SSDP solutions across all CMC functions

About you

Key Requirements & Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 5+ years of Data engineering and design experience with large scale business applications in a fast-paced iterative development environment
• Good knowledge of Lean & Agile practices
• Experience in working in an AWS ecosystem
• Experience with self-serve data preparation systems such a Dataiku
• Experience in Data Engineering & Data Integration (ETL, API, ...)
• Experience in bash scripting, Python and SQL
• Knowledge in GxP computerized systems would be a plus
• Proactivity, autonomy, openness, and responsiveness to feedback
• Attitude towards continuous growth and improvement
• Desire to work in a fast-paced, constantly evolving environment
• Fluent English

Why choose us?

• Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
• Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easily schedule your office days

Pursue Progress. Discover Extraordinary.

Progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let's pursue progress. And let's discover extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Discover our Code of Conduct, that serves as the moral compass that guides us when chasing the miracles of science to improve people's lives. Please ensure to have read this document before applying.

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