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Sanofi

MSAT Process Data Scientist Intern

Reposted 4 Days Ago
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In-Office
Singapore City
Internship
In-Office
Singapore City
Internship
The MSAT Process Data Scientist Intern will assist in setting up bioprocess data frameworks and systems, enabling data analysis and visualization for process engineers, and ensuring compliance with Good Manufacturing Practices in a biopharmaceutical facility.
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About the job
Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide.

The MSAT team in Sanofi Modulus Singapore is seeking an intern or trainee as MSAT Process Data Scientist to help setup the framework and systems of bioprocess data in a greenfield facility. This position will connect the digital infrastructure with the upstream and downstream process engineers, to enable a simple user interface to compare discrete and continuous process data, potentially across different manufacturing sites. The Process Data Scientist intern/trainee should design/execute the framework and systems to enable lifecycle management including routine user training, user access and troubleshooting.

This position reports into Modulus Singapore MSAT team, with heavy direction and guidance from the Data Science & Digital (DSD) team based in France.

Key Accountabilities:

  • Understand the setup and capabilities of the site’s data integration layer and plant connectivity with the goal of designing and setting up bioprocess data framework and system.
  • Combine expertise in 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 DSD and MSAT process engineers) to design and setup framework and systems to collate, manage, visualize and analyze bioprocess data.
  • Translate process data to enable end-users (process engineers) to visualize data for process performance and trending, as well as to perform data analysis using in house statistical tools/software
  • Work closely with MSAT DSD and MSAT process teams to analyze real time process data to improve process monitoring and control.
  • Adheres to the work and governance frameworks and deliver in a timely manner.

About you 

  • Holds or is working to complete a scientific or engineering degree (or higher), preferably in Biotechnology, Biological Sciences, or Chemical Engineering.
  • Is data-driven, scientifically curious and an effective communicator.
  • Ideally has work (or internship) experience in a cGMP biopharmaceutical facility, and/or small- or pilot-scale hands-on experience with mammalian cell culture and purification techniques.
  • Is familiar with data analytics and an experience in using data analytics tools would be advantageous such as R, JMP, Python, Matlab. .
  • Has experience with developing business requirements, use cases and user stories in a data analytics context.

Why choose us?

•    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.

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!

Top Skills

Jmp
Matlab
Python
R

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