Sanofi Manufacturing Innovators Program_MSAT Data Engineer Trainee

Location: City of Singapore

Time Type: Full time

Job Description

About the job

Sanofi is revolutionizing biopharma manufacturing. Our newly launched Modulus facility in Singapore sets a new standard for speed, agility, and innovation, powered by AI.

And you can be part of it. Join the Sanofi Manufacturing Innovators (SMI) Graduate Program, a two-year journey designed to shape the next generation of biopharma professionals. Spend one year at our manufacturing site United States and one year at Modulus Singapore, working with cutting-edge technology that’s redefining the industry. As part of a dynamic cohort, you’ll gain hands-on experience, develop future-ready skills, and make a real impact as you explore, learn, and grow

Manufacturing Science and Analytical Technology (MSAT) is a global function which drives the industrialization and the improvement of biological processes and products. It embarks new technologies and digital trends. It is the keeper of manufacturing process knowledge. MSAT is at the crossroad of R&D and production. It is a multi-disciplinary function that provides expertise in process, manufacturing sciences, process modelling, statistical analysis, process validation and technology transfer.

Main responsibilities

• Understand the setup and capabilities of the site’s data integration layer and plant connectivity.

• Combine expertise in data science and biotechnological processes to ensure technical propositions are in accordance with Good Manufacturing Practices (GMP) and industrial constraints to maximize robustness, reliability and economics.

• Work with cross-functional stakeholders (including MSAT Data Science and Digital (DSD) team and process engineers) to design and setup frameworks and systems to collate, manage, visualize and analyse bioprocess data.

• Translate process data to enable end-users (e.g. process engineers) to visualize data for process performance and trending, as well as to perform data analysis using in house statistical tools/software’s

• Work closely with MSAT DSD and process teams to analyse the real time process data to improve process monitoring and control.

• Deliver assigned tasks and projects in a timely manner.

• Adhere to the relevant safety and quality standards of the site.

About you 

Education:

• Master’s or Bachelor’s degree in Science or relevant Engineering field

Skills:

• Strong communicator, able to collaborate across teams and cultures.

• Excellent analytical and problem-solving skills with a data-driven approach.

• Self-motivated and proactive, able to work independently.

• Curious and passionate about understanding and improving processes.

• Experience with programming languages and data analytics tools like R, Python, JMP, SIMCA or MATLAB is a plus.

Why choose us?

• Bring the miracles of science to life with a supportive, future-focused team.

• Discover endless opportunities to grow, whether through promotions, lateral moves, or global assignments.

• Build future-proof skills through hands-on learning, mentorship, and training.

• Work with cutting-edge technology and collaborate with top talent at two of Sanofi’s most innovative sites, Modulus in Singapore and in the United States.

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But 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. So, let’s be those people.

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

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