Job Location : Claremore,OK, USA
job requisition id R2791451
Data Scientist IIGrade: L2-1
Hiring Manager: Guy Van Hove
Travelling: sporadically, up to 10% travel
About the jobOur Team:
The MSAT Data Scientist is a member of the Process Data Science Recombinant platform of the Data Science and Digital Transformation (DSD) team within the global Manufacturing Science, Analytics and Technology (MSAT) organization and is based in Sanofi Geel biopharmaceutical manufacturing site.
The Recombinant Mammalian DS platform function within global MSAT is the owner of Life Cycle Management of mammalian cell culture-based DS Processes within Sanofi biologics manufacturing network. We deliver innovative, robust, and cost-effective next generation processes, enable launch of new products, and provide commercial manufacturing/Quality Control support. The function is responsible for tech transfer activities including fit-gap assessment, validation, dossier sections preparation, & PAI support to enable launch of new and LCM products. Our expansive portfolio covers multiple products, modalities, and expression systems within 12 internal and external global sites in US and EU. We will be supporting launch of 20+ new products in next 3-5 years including monoclonal and multi-specific antibodies, fusion proteins, antibody-drug conjugates, synthorins and nanobodies. We are pursuing future innovations such as digital labs, factory of future and advanced analytics-based process understanding and control.
The MSAT DSD Data Science Recombinant team provides dedicated day to day support to manufacturing and process development of products supported by the MSAT Recombinant Drug Substance platform. We drive innovation, excellence and harmonization in Data Science areas, and act as Data Stewards in Technical Product Teams for all recombinant Drug Substance products.
Key accountabilities:
BS in data sciences, statistics or a related discipline with at least 6 years of experience in pharmaceutical industry
MS in data sciences, statistics or a related discipline with at least 4 years of experience in pharmaceutical industry
Ph.D. in data sciences, statistics or a related discipline with at least 2 years of experience in pharmaceutical industry
Preferred qualifications
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.
About UsSanofi
Why SanofiAs an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
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