Statistical Data Scientist - Injectables and Tech Transfer.

Sanofi•Swiftwater, PA

6d•Onsite

About The Position

As a Statistical Data Scientist - Injectables and Tech Transfer, you'll be on a mission to enable Injectables sites and tech transfer projects to reach operational excellence in process development and optimization through an AI & data-driven organization. Join a global network that powers how Sanofi delivers - seamlessly, purposefully, and at scale. In Manufacturing & Supply, you'll help reimagine how life-changing treatments reach people everywhere, faster. 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.

Requirements

Bachelor’s degree in Statistics, Biostatistics, Computer Science, or Applied Mathematics, or any Similar and relevant field.
3+ years of hands-on experience as a Statistician or Data Scientist in a GMP-regulated manufacturing environment.
Academic or research experience may be considered if conducted within the pharmaceutical industry.
Strong understanding of the application of statistics and data analytics within a manufacturing setting, with familiarity with regulatory statistical expectations.
Proficient in statistical analysis packages, particularly Minitab and/or JMP, with solid problem-solving and data analytical skills.
Knowledge of the various stages of sterile manufacturing, from process development through to inspection, packaging, and tech transfer.
Proven ability to influence and communicate effectively across multidisciplinary and multicultural teams, with strong interpersonal skills.
Flexible and adaptable, with the ability to prioritize and manage workload effectively in a fast-paced, dynamic environment.

Nice To Haves

Master's degree would be preferred.

Responsibilities

Apply data science expertise to solve related problems using data-driven techniques (Machine Learning, statistics, text-mining/NLP, forecasting, etc.).
Perform data analysis and visualization to assist with problem-solving and process optimization.
Carry out Advanced Kinetic Stability (AKM) modelling analysis within the injectables and Tech Transfer platform.
Support Digital Twin/ Process Modelling implementation and act as the DSD representative for Injectables and Tech Transfer projects.
Deploy and sustain best practices in statistical approaches/modelling and utilisation across DSD Injectables network.
Participate in the development of site statistical systems, and rollout of support across the DSD Injectables to upskill across the network.
Provide oversight of the methods in which statistical expertise are applied to activities within the DSD Injectables.