MSAT DSD Recombinant DS Platform-Rare Disease Cluster Head

Job Title: MSAT DSD Recombinant DS Platform-Rare Disease Cluster Head

Location: Framingham, MA

About the Job

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

Sanofi Global MSAT (Manufacturing Sciences, Analytics and Technology) acts as a crucial link between our R&D and Manufacturing facilities, playing a vital role in securing the present portfolio and delivering future launches of high-quality and innovative drugs and vaccines. By driving its own transformation, Global MSAT fulfills an important function by providing day-to-day Manufacturing Support, focusing on technical and process aspects, effective Life Cycle Management, process robustness enhancement, and yield improvement to optimize performance.

Under the lead of MSAT and in partnership with many other functions (Manufacturing 4.0, Digital, M&S, R&D), the MSAT Process Data Science & Digital Transformation team (MSAT DSD team) reaches operational excellence in process development, optimization & sustainability by putting in place a true data driven organization. As one Team, MSAT DSD organization is the data/digital DNA within the processes allowing us to ensure best in class manufacturing & analytical processes focusing on data/digital innovations & excellence aiming at guaranty acceleration/securitization launches & improvement/sustainability for our current processes.

Within the MSAT DSD department, the MSAT DSD Recombinant Platform, in particular for immunology & oncology areas, accelerates digital transformation for MSAT Recombinant Drug Substance Platform and supports current and new products launch by Data Science and Digital innovations.

Reporting to the Head of the MSAT DSD Recombinant Immunology & Oncology Platform, the Data Scientist will provide the statistical support for the internal customers: MSAT USP (UpStream), MSAT DSP (DownStream) and MSAT Analytics. The Data Scientist will also be connected with other MSAT DSD people for harmonization, improvement, …

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

• Lead data and digital efforts for optimizing the manufacture of given product cluster. Manage direct reports and prioritize resource to meet the needs of given product cluster. 

• Keep frequent communication with product cluster head, MSAT prism and process monitoring engineers to formulate digital and data science solutions 

• Offer proactive advice, service and technical expertise upon request, to guarantee the reliability of data engineering and statistical analyses.

• Monitor the performance of the tools used for data collection, data configuration, data analysis and/or data modeling; and adjust and/or escalate where necessary, to prevent deviations from standards, resolve bottlenecks and identify opportunities for improvement to meet the predefined quality requirements.

• Enable trouble shooting of recombinant products and enhance the yield.

• Accelerate the digitalization of manufacturing sites and support new product launches. 

• Lead talent development in DSD recombinant team. Help to provide career development opportunities for team members. 

• Enable training and education of customers on data science and digital innovation.

• Ensure proper compliance with legal standards and regulations, to contribute to high-quality scientific/technical reports and documents, and strive for optimal quality of methods/techniques in accordance with agreements, guidelines and regulations.

About You

• Master’s Degree or PhD in Data Science, Statistics, Chemical Engineering with minimum 8 years of experience in manufacturing science and technology.

• Experience working in a cGMP environment and extensive knowledge of regulatory guidelines. 

• Experience in developing data analytics solutions on biologics processes.

• Experience in statistical techniques, complex statistical analyses, data configuration and/or data modeling techniques.

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