Data Scientist

• Location: Geel, Belgium

• Hiring Manager: Edith Miclet

About the job

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 MSATProcess 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 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 Immunology Cluster within the MSAT DSD Recombinant 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, …

Main responsibilities:

• Implement the statistical methodology for a protocol.

• Carry out statistical analyses (including writing a report).

• Writing statistical procedures and instructions.

• Explain statistical results to customers (capacity to popularize statistics).

• Providing education to customers on data science/statistics.

• Bring statistical support in case of questions from health authorities.

• Conduct technical monitoring to implement innovative statistical methods.

About you

• Master’s Degree or PhD in Data Science, Statistics, Mathematics with minimum 5 years of experience in industrial statistics.

• Fluent in English, French is a plus.

• Rigorous, dynamic and pedagogue.

• Strong knowledge in statistics:

• • Statistical Process Control (SPC) / Continued Process Verification (CPV) (calculation of control limits, tolerance intervals and of capability indices, control charts, …).

  • Sample size / Power study.

  • Comparability study.

  • Prediction intervals.

  • Population comparison (parametric and non-parametric tests, equivalence tests, …).

  • Multivariate analyses/Machine learning algorithms (PCA, PLS regression, Random Forest, …).

  • Linear and non-linear modelisation.

  • Qualification and Validation of analytical methods (linearity, intermediate precision, …).

  • Design Of Experiments (screening, factors study, optimization, robustness).

  • Bayesian statistics.

  • Etc…

• Strong knowledge in statistical software/progamming languages:JMP, SIMCA, Modde, Design Expert, PASS, R, Python, …

• Occasional trips to other Sanofi immunology sites: Vitry-sur-Seine, Lyon Gerland, Framingham.

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

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave

• Play an instrumental part in creating best practice within our manufacturing facility