Data Scientist

Sanofi; Vitry-sur-Seine; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A leading pharmaceutical company in Vitry-sur-Seine is seeking a Data Scientist to support manufacturing processes through statistical analysis and data-driven methodologies. The ideal candidate will have a Master's or PhD in relevant fields and a minimum of 5 years of experience in industrial statistics. This role involves collaborating with various teams to ensure operational excellence and participate in the digital transformation of manufacturing processes. The position offers comprehensive healthcare benefits and a supportive work environment.

Prestations

Comprehensive healthcare benefits

Family wellness programs

Parental leave

Qualifications

• Minimum 5 years of experience in industrial statistics.
• Fluent in English.
• Eager to learn about cloud platforms.

Responsabilités

• Implement the statistical methodology for protocols.
• Carry out statistical analyses and write reports.
• Develop and maintain MSAT applications.

Connaissances

Strong knowledge in statistics

Statistical Process Control (SPC)

Machine learning algorithms

Data programming languages like R and Python

SQL and database concepts

Formation

Master’s Degree or PhD in Data Science, Data Engineering, Statistics, Mathematics

Outils

JMP

Dataiku

SIMCA

Modde

Python

Description du poste

Job title : 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 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, …

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.
• Assist in designing, developing, and maintaining data pipelines for manufacturing processes.
• Develop and maintain MSAT applications
• Participate in data architecture and visualization projects to support manufacturing decision-making.
• Support the digital transformation of manufacturing processes through data-driven solutions.
• Support and develop MSAT data pipeline (ETL).
• Models creation for yields improvement.
• Master’s Degree or PhD in Data Science, Data Engineering, Statistics, Mathematics with minimum 5 years of experience in industrial statistics.
• Fluent in English.
• Rigorous, dynamic and pedagogue.
• Strong knowledge in statistics : Statistical Process Control (SPC) / Continued Process Verification (CPV) (e.g. 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 (e.g. PCA, PLS regression, Random Forest).Linear and non-linear modelisation.Qualification and Validation of analytical methods (e.g. linearity, intermediate precision).Design Of Experiments (e.g. screening, factors study, optimization, robustness).Bayesian statistics.
• Strong knowledge in statistical software / progamming languages : JMP, Dataiku, SIMCA, Modde, Design Expert, PASS, R, Python
• Familiarity with SQL and database concepts.
• Eagerness to learn about cloud platforms, particularly Snowflake.
• Good understanding of version control systems, especially GitHub.
• Occasional trips to Sanofi immunology / oncology sites : Lyon Gerland, Geel, Framingham.
• 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

Pursue , discover

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 and check out our Diversity Equity and Inclusion actions at !